Blog

Snowflake is the Database Management System of the Year 2024
by Tom Russell, 16 January 2025
Tags: Snowflake

DB-Engines is today announcing that Snowflake is our DBMS of the Year for 2024, the third time it has claimed the top spot having previously been ranked first place in 2021 and 2022.

Are database management tasks slowing you down? Redgate Software wants to hear from you
by Tim Dalton, 2 September 2024

Do you find yourself bogged down by repetitive database management tasks? Are there processes in your workflow that you believe could be more efficient? If so, Redgate Software is eager to hear your insights. 

DB-Engines now owned by Redgate Software
by Tom Russell, 18 June 2024

A big announcement today from DB-Engines as we announce we have been acquired by Redgate Software, the end-to-end Database DevOps solution provider.  

PostgreSQL is the DBMS of the Year 2023
by Matthias Gelbmann, Paul Andlinger, 2 January 2024
Tags: Databricks, DBMS of the year, Google BigQuery, PostgreSQL

PostgreSQL is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 417 monitored systems.
We thus declare PostgreSQL as the DBMS of the Year 2023.

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
by  Bei Mo, AntDB (sponsor) , 22 June 2023
Tags: AntDB, Streaming

Vector databases
by Matthias Gelbmann, 2 June 2023
Tags: Chroma, Milvus, Pinecone, Vector DBMS

We have added Vector DBMSs as a new DBMS category.

Snowflake is the DBMS of the Year 2022, defending the title from last year
by Matthias Gelbmann, Paul Andlinger, 3 January 2023
Tags: DBMS of the year, Google BigQuery, PostgreSQL, Snowflake

Snowflake is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 402 monitored systems.
We thus declare Snowflake as the DBMS of the Year 2022.

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
by  Akmal Chaudhri, SingleStore (sponsor) , 17 October 2022
Tags: SingleStore

WebAssembly (Wasm) is a binary instruction format for a stack-based virtual machine. Wasm enables developers to use existing code from programming languages, such as C, C++ and Rust as part of their application development process. However, Wasm is not just for the web, and today is moving in exciting new directions. For example, one use-case would be to run Wasm code in a database system on the data already stored in the database system — an example of co-locating computation with data. Using Wasm to extend the capabilities of a database system opens up opportunities to develop many new applications. SingleStoreDB supports Wasm through Code Engine and, in this article, we’ll see how to build a Wasm UDF to perform sentiment analysis on data already stored in SingleStoreDB.

Ten years of DB-Engines.com
by Matthias Gelbmann, Paul Andlinger, 13 October 2022
Tags: DB-Engines Ranking

DB-Engines.com was launched ten year ago. Quite a few things have changed since then in our portal and in the DBMS industry.

Cloud-Based Analytics With SingleStoreDB
by  Akmal Chaudhri, SingleStore (sponsor) , 9 June 2022
Tags: SingleStore

The advent of cloud computing has provided the means to develop a wide range of new products and services. We can build and run applications and perform analytics in the cloud without installing local software. This article will look at two examples of modern systems that can seamlessly integrate with SingleStoreDB for in-cloud analytics: Apache Spark™️ and MindsDB.

The notebook file used in this article is available on GitHub.

What is and what isn’t a hard real-time database system?
by Steve Graves, McObject (guest author), 29 May 2022
Tags: Real-Time DBMS

Hard real-time does not mean real fast.  Database and software vendors have been using the term real-time synonymously with instant or live for years, but for mission- and safety-critical systems it means something else entirely.

The evolution of DBMS popularity in the DB-Engines Ranking, 2013-2022
by Matthias Gelbmann, 17 March 2022
Tags: DB-Engines Ranking

We show how the most popular DMBS in the DB-Engines Ranking evolved in the last 10 years in form of a bar chart race.

SingleStore: The Increasing Momentum of Multi-Model Database Systems
by  Akmal Chaudhri, SingleStore (sponsor) , 14 February 2022
Tags: Multi-model DBMS, SingleStore

Despite predictions of the imminent demise of relational technology over the past few decades, relational technology is as strong today as it has ever been. Savvy relational vendors have added new capabilities, extending their products to meet new requirements. Enter the era of multi-model database systems that provide business and technical benefits. SingleStore is in the vanguard of multi-model, distributed relational database systems. We'll discuss some of its capabilities in this article.

Extending database applications with a smart proxy
by Max Tardiveau (guest author), 7 February 2022
Tags: Database proxy

Using the connection between database clients and database servers as a leverage point.

Snowflake is the DBMS of the Year 2021
by Paul Andlinger, Matthias Gelbmann, 3 January 2022
Tags: DBMS of the year, MongoDB, PostgreSQL, Snowflake

Snowflake is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 383 monitored systems.
We thus declare Snowflake as the DBMS of the Year 2021.

Driving the Future of PostgreSQL Adoption
by  Umair Shahid, Percona (sponsor) , 15 November 2021
Tags: Open source DBMS, Percona, PostgreSQL

Data processing speed and reliability: in-memory synchronous replication
by  Vladimir Perepelytsya, Tarantool (sponsor) , 9 November 2021
Tags: Replication, Tarantool

Despite the current difficult economic climate, large companies continue digitalizing their businesses. Mobile apps and personal dashboards have become indispensable service and communication channels, significantly increasing the load on IT infrastructure. There are many ways to deal with this load by improving system performance. One of the options is to use in-memory technology. But can it guarantee sufficient reliability?

The Inexorable Rise of PostgreSQL
by  Matt Yonkovit, Percona (sponsor) , 24 September 2021
Tags: Open source DBMS, Percona, PostgreSQL

Percona's Matt Yonkovit shares his view on why PostgreSQL is currently the hottest database in town, how liberal licensing has led to mass adoption, and why you should consider a switch to PostgreSQL.

Cloudera's HBase PaaS offering now supports Complex Transactions
by  Krishna Maheshwari (sponsor) , 11 August 2021
Tags: Apache Phoenix, DBaaS, HBase

Cloudera announced the general availability of the CDP Operational Database Experience (COD) on both AWS & Azure in February and recently announced support of full ACID capabilities within the relational mode of the Operational Database.

Spatial database management systems
by Matthias Gelbmann, 6 April 2021
Tags: GeoMesa, PostGIS, Spatial DBMS, SpatiaLite

We have added Spatial DBMSs as a new DBMS category.

Weaviate, an ANN Database with CRUD support
by  Etienne Dilocker, SeMI Technologies (sponsor) , 2 February 2021
Tags: Search engines, Weaviate

How the vector search engine Weaviate overcomes the limitations of popular Approximate Nearest Neighbor (ANN) libraries.

Open source database management systems are now more popular than commercial offerings
by Matthias Gelbmann, 13 January 2021
Tags: DB-Engines Ranking, Open source DBMS

If we add up all the popularity scores of the 185 open source DBMSs in the DB-Engines ranking, then we get, for the first time, a higher score than the commercial counterparts.

PostgreSQL is the DBMS of the Year 2020
by Paul Andlinger, Matthias Gelbmann, 4 January 2021
Tags: DBMS of the year, Microsoft Azure SQL Database, MongoDB, PostgreSQL

PostgreSQL is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 360 monitored systems.
We thus declare PostgreSQL as the DBMS of the Year 2020.

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
by  Srini Srinivasan, Aerospike (sponsor) , 17 March 2020
Tags: Aerospike, NoSQL

Legacy platforms often cannot meet real-time demands needed for innovation: slower response times cost the business and its customers which leads to bad user experiences. Plus, about a third of companies have failed on big data initiatives because they were too complex, required a large budget, demanded more skills and were not agile enough.

MySQL is the DBMS of the Year 2019
by Matthias Gelbmann, Paul Andlinger, 3 January 2020
Tags: DBMS of the year, Microsoft SQL Server, MySQL, Oracle

MySQL is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 350 monitored systems.
We thus declare MySQL as the DBMS of the Year 2019.

Cloud-based DBMS's popularity grows at high rates
by Paul Andlinger, 12 December 2019
Tags: Amazon Aurora, Amazon DynamoDB, Amazon Redshift, DBaaS, Firebase Realtime Database, Google BigQuery, Google Cloud Firestore, Microsoft Azure DocumentDB, Microsoft Azure Search, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL Database

Cloud-based database management systems are continuously increasing in popularity. We analyze the trends and show the big players.

Applying Graph Analytics to Game of Thrones
by Amy Hodler & Mark Needham, Neo4j (guest author), 12 June 2019
Tags: Graph DBMS, Neo4j

In this post, we review how organizations are integrating graph transactions and analytic processing and then dive deeper into graph algorithms. We’ll provide examples of using graph algorithms on Game of Thrones data to illustrate how to get started. Note that portions of this content have been taken from our O’Reilly book, Graph Algorithms: Practical Examples in Apache Spark & Neo4j,  which you can download for free.

New options in the DB-Engines ranking for multi-model DBMS
by Paul Andlinger, Matthias Gelbmann, 19 February 2019
Tags: Database models, DB-Engines Ranking, Multi-model DBMS

We recently changed the way we treat the multi-model aspect of database management systems and introduced a new option in the popularity rankings. This article explains the ideas behind.

PostgreSQL is the DBMS of the Year 2018
by Paul Andlinger, Matthias Gelbmann, 2 January 2019
Tags: DBMS of the year, MongoDB, PostgreSQL, Redis

PostgreSQL is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 343 monitored systems.
We thus declare PostgreSQL as the DBMS of the Year 2018.

GQL - initiating an industry standard property graph query language
by Alastair Green (guest author), 30 May 2018
Tags: Graph DBMS

GQL stands for “Graph Query Language”. GQL doesn’t exist yet: it’s a proposal to create a standard declarative language - designed to live alongside and fit well with SQL - that is specifically designed for the property graph data model.

MariaDB strengthens its position in the open source RDBMS market
by Matthias Gelbmann, 5 April 2018
Tags: MariaDB, MySQL, Open source DBMS, Relational DBMS

MariaDB has reached a new all-time high in the DB-Engines Ranking, climbing to rank 14, up from rank 18 one year ago and from rank 25 three years ago. That is roughly a tripling of its popularity score in the last three years.

PostgreSQL is the DBMS of the Year 2017
by Paul Andlinger, Matthias Gelbmann, 2 January 2018
Tags: DBMS of the year, Elasticsearch, MariaDB, PostgreSQL

PostgreSQL is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 341 monitored systems.
We thus declare PostgreSQL as the DBMS of the Year 2017.

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
by  Arnaud Comet, Microsoft (sponsor) , 1 November 2017
Tags: Data warehouse, Microsoft Azure SQL Data Warehouse, Relational DBMS

Today, with the proliferation of data sources and the need to be data-driven, it is hard for companies to avoid siloed sources of information. Siloed data marts can represent an important increase in cost and potentially business opportunities. Centralizing data to provide more complete datasets to your internal departments, suppliers or customers can become a competitive advantage. In the context of Hub & Spokes, Azure SQL Data Warehouse is optimized to provide the greatest experience as a hub thanks to its native integration with Azure SQL Database and Analysis Services (the spokes).

Five years of DB-Engines.com
by Matthias Gelbmann, Paul Andlinger, 11 October 2017
Tags: DB-Engines Ranking

We launched DB-Engines five years ago. This is a little summary of how it started and what we have achieved.

The Weight of Relational Databases: Time for Multi-Model?
by Luca Olivari (guest author), 29 August 2017
Tags: ArangoDB, Multi-model DBMS

While computers and software have changed greatly in the past 47 years -- since the start of epic time -- there has been little innovation related to databases. Software requirements have changed dramatically over the past five decades; computing needs are vastly different. 

In the 1970s, Intel introduced the first 4004 microprocessor that accessed only 640 bytes of memory. In the same period, the first relational database system was designed.  RDBMS was invented from the paramount need to optimize storage and to utilize memory, efficiently. The world was an extremely different place. Almost everything in the computer hardware and software world has changed since then, except for relational databases. Are they still the best solution?

Why Build a Time Series Data Platform?
by Paul Dix (guest author), 20 July 2017
Tags: InfluxDB, Time Series DMBS

In the middle of the big data hype cycle, before IoT was on the top of everyone’s buzz list, before Cloud Native was common lingo and before large enterprises were starting the work to de-silo their infrastructure monitoring and metrics data, Paul Dix, Founder of InfluxData, began building a purpose-built Time Series Platform. Flash forward to today, time series is now the fastest growing database segment, and the market is clearly moving beyond the re-purposed Cassandra and Hbase implementations that defined the segment at that time. The following post is a firsthand account from Paul Dix outlining the problems he witnessed and why he built a modern Time Series Platform.

Elasticsearch moved into the top 10 most popular database management systems
by Matthias Gelbmann, 3 July 2017
Tags: Elasticsearch

Elasticsearch saw a steady growth of popularity in the last years. It is now not only the most popular enterprise search engine, it is also one of the 10 most popular database management systems.

The struggle for the hegemony in Oracle's database empire
by Paul Andlinger, 2 May 2017
Tags: Microsoft SQL Server, MySQL, Oracle

Oracle's flagship RDBMS and its open source competitor MySQL fight for being the most popular database management system. But the DB-Engines ranking indicates that other systems may benefit from this race.

The popularity of cloud-based DBMSs has increased tenfold in four years
by Matthias Gelbmann, 7 February 2017
Tags: Amazon Aurora, Amazon DynamoDB, Amazon Redshift, Amazon SimpleDB, Cloudant, Google BigQuery, Microsoft Azure DocumentDB, Microsoft Azure SQL Database

Cloud-based database management systems are still relatively exotic data storage solutions, adding up to only 1.6% of the popularity of the entire DBMS market. This is, however, a tenfold increase in the last four years.

Microsoft SQL Server is the DBMS of the Year
by Matthias Gelbmann, Paul Andlinger, 4 January 2017
Tags: DBMS of the year, Microsoft SQL Server, MySQL, PostgreSQL

Microsoft SQL Server is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 315 monitored systems.
We thus declare Microsoft SQL Server as the DBMS of the Year 2016.

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
by Tony Branson (guest author), 25 November 2016
Tags: Microsoft SQL Server, MySQL, Oracle, Scalability

Find out how to avoid downtime on Black Friday, find the best database design for your site, learn how to leverage Database Load Balancing to get your desired results.

Exploring the trend towards open source database management systems
by Matthias Gelbmann, 3 November 2016
Tags: DB-Engines Ranking, Open source DBMS

The popularity of open source DBMSs, as measured by the DB-Engines Ranking, has reached a new record. We analyze the underlying details.

Emerging and fading trends in database management systems
by Paul Andlinger, 4 October 2016
Tags: DBaaS, Graph DBMS, Open source DBMS, Relational DBMS, Time Series DMBS

Articles on database technologies are jammed with buzzwords and prophecies of new trends, just like any other technology. We use the collected data of our DB-Engines Ranking to have a look at some of these trends.

PostgreSQL moves up one rank at the expense of MongoDB
by Paul Andlinger, 1 September 2016
Tags: DB-Engines Ranking, MongoDB, PostgreSQL

PostgreSQL passed MongoDB and ranks 4th, only behind the big three DBMS Oracle, MySQL and SQL Server.

Time Series DBMS are the database category with the fastest increase in popularity
by Matthias Gelbmann, 4 July 2016
Tags: Graphite, InfluxDB, Kdb+, OpenTSDB, RRDtool, Time Series DMBS

In a world that is collecting more and more data every day, Time Series DBMS seem to be perceived as particularly useful to deal with the data streams in an increasing number of application scenarios.

Enriching Property Graphs with Relationship Objects
by Jans Aasman (guest author), 21 June 2016
Tags: Graph DBMS, RDF stores

In many graph database applications we find that a link between two nodes is quite complex.  Conventional property graph databases try to manage the complexity by putting properties on the edges between nodes, but this technique has significant limitations.  To overcome the limitations, this article introduces the relationship objects pattern.

A new life for Microsoft SQL Server
by Paul Andlinger, 2 June 2016
Tags: Microsoft SQL Server

With the general availability of its new SQL Server 2016 in these days, Microsoft gets a lot of attention and pushes SQL Server’s popularity into a region where it has not been for a long time.

Cassandra keeps climbing the ranks of the DB-Engines Ranking
by Matthias Gelbmann, 3 May 2016
Tags: Cassandra

Cassandra moves up to rank #7 in the DB-Engines Ranking, overtaking Microsoft Access. Part of its success lies in the fact that it is different.

DB-Engines Ranking now covers more than 300 database management systems
by Paul Andlinger, 4 April 2016
Tags: DB-Engines Ranking

By adding another 4 tools to our DBMS popularity ranking, we now cover 303 tools.

MySQL, PostgreSQL and Redis are the winners of the March ranking
by Paul Andlinger, 2 March 2016
Tags: 4D, DB2, Elasticsearch, Microsoft SQL Server, MySQL, Neo4j, Open source DBMS, Oracle, PostgreSQL, Realm, Redis

While the open-source DBMS show a very good performance in this months ranking, we monitor some popularity drops for the large commercial systems.

Big gains for Relational Database Management Systems in DB-Engines Ranking
by Matthias Gelbmann, 2 February 2016
Tags: DB-Engines Ranking, MariaDB, Microsoft SQL Server, MySQL, PostgreSQL, Relational DBMS, SQLite

All of the 5 DBMSs that saw the biggest gains last month are relational systems. This confirms a trend we noticed since a half year.

Elasticsearch replaced Solr as the most popular search engine
by Paul Andlinger, 12 January 2016
Tags: Elasticsearch, Search engines, Solr

Elasticsearch has passed Solr and took the lead of the search engines category.

Oracle is the DBMS of the Year
by Paul Andlinger, Matthias Gelbmann, 5 January 2016
Tags: Cassandra, DBMS of the year, MongoDB, Oracle

Oracle is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 290 monitored systems.
We thus declare Oracle as the DBMS of the Year 2015.

The openCypher Project: Help Shape the SQL for Graphs
by Emil Eifrem (guest author), 22 December 2015
Tags: Cypher, Graph DBMS, Neo4j, Oracle

Learn how you can get involved with the graph database community’s newest collaboration: the openCypher project, an open source query language for graphs.

Data Modeling in Document Databases for the RDBMS-Minded
by Cihan Biyikoglu (guest author), 7 December 2015
Tags: Data Modeling, Document stores, Relational DBMS

Data modeling for relational databases uses entity relationship diagrams and normalization, techniques which have evolved to perfection over the years. However data naturally does not exist in this full normalized form in real world applications. Document databases provide flexible primitives like JSON documents for storing entities but this does not mean data modeling is a lost art!

Some remarks about the DB-Engines ranking score
by Paul Andlinger, Matthias Gelbmann, 3 December 2015
Tags: DB-Engines Ranking

The recent DB-Engines Ranking of December 2015 produced some surprises. Several systems, which continuosly showed a very positive trend (e.g. MongoDB, Cassandra, Redis, Neo4j) in the past, lost points in the recent ranking. Other major players, with a rather stuttering trend in the ranking so far, heavily increased their score (e.g. Oracle, MySQL, Microsoft SQL Server). Why did that come?

Master Data Management Remains Siloed Without Semantics
by Jans Aasman (guest author), 16 November 2015
Tags: Graph DBMS, RDF stores

As Big Data continues to grow, companies are increasing their commitments to extract every last drop of value from the information they gather. Since siloed data has limited value, organizations are also embracing a more comprehensive strategy of managing data across multiple data domains. But this requires a shift away from traditional Master Data Management (MDM) to broader and more flexible data governance environments that enable enterprises to quickly synthesize diverse data sources that can result in transformative business decisions.

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
by Paul Andlinger, 2 November 2015
Tags: Cassandra, DB2, Elasticsearch, IBM dashDB, MariaDB, MongoDB, MySQL, Oracle

Oracle, MongoDB, MySQL, ElasticSearch, Cassandra and MariaDB are the winners in the current ranking.

IBM's DB2 and IBM dashDB show converse performances.

Increased popularity for consuming DBMS services out of the cloud
by Paul Andlinger, 2 October 2015
Tags: Amazon DynamoDB, Amazon Redshift, Cloudant, DBaaS, Google BigQuery, Microsoft Azure SQL Database, Microsoft SQL Server

According to the recent DB-Engines ranking, the popularity of Database as a Service offerings almost doubled in the last 12 months.

Amazon - the rising star in the DBMS market
by Matthias Gelbmann, 3 August 2015
Tags: Amazon Aurora, Amazon CloudSearch, Amazon DynamoDB, Amazon Redshift, Amazon SimpleDB, DBaaS

While Amazon as DBMS provider cannot compete in popularity with Oracle, Microsoft or IBM, nor with the leading open source solutions such as MySQL, PostgreSQL or MongoDB, they are a significant market force when it comes to hosted DBMS solutions.

MongoDB and PostgreSQL struggle for the lead of the chasing group in the popularity ranking
by Paul Andlinger, 1 July 2015
Tags: Cassandra, Microsoft SQL Server, MongoDB, MySQL, Oracle, PostgreSQL

MongoDB regained the 4th rank from PostgreSQL this month and is one of the three systems within the top 10 which could improve their score.

Time Series DBMS as a new trend?
by Paul Andlinger, 1 June 2015
Tags: Graphite, InfluxDB, RRDtool, Time Series DMBS

With the current ranking, we introduced the new category Time Series DBMS and added 15 systems of that kind to our ranking.

MySQL won the April ranking; did its forks follow?
by Paul Andlinger, 1 April 2015
Tags: Drizzle, MariaDB, Microsoft SQL Server, MySQL, Oracle, Percona Server, WebScaleSQL

MySQL is the clear winner of the April ranking, but the various forks do not show a uniform performance.

Graph DBMS increased their popularity by 500% within the last 2 years
by Paul Andlinger, 3 March 2015
Tags: Database models, DB2, Graph DBMS, Neo4j, Oracle, OrientDB, Relational DBMS, Titan

Graph DBMS show an extraordinary momentum and are making their way into enterprises.

DB-Engines Ranking now covers 256 database management systems
by Matthias Gelbmann, 2 February 2015
Tags: DB-Engines Ranking, MongoDB, PostgreSQL

We have added another 16 systems to our ranking, rounding it up to 256.

MongoDB is the DBMS of the year, defending the title from last year
by Paul Andlinger, Matthias Gelbmann, 7 January 2015
Tags: DBMS of the year, Elasticsearch, MongoDB, Redis

MongoDB is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any of the other 240 monitored systems.
We thus declare MongoDB as the DBMS of the year 2014.

New kids on the block: database management systems implemented in JavaScript
by Matthias Gelbmann, 1 December 2014
Tags: JavaScript DBMS, LokiJS, PouchDB, SQL.JS

A scripting language is hardly the first choice when implementing a database management system, but JavaScript has evolved to a point where this became a very reasonable option.

New DB-Engines Ranking: newcomers, winners & losers
by Paul Andlinger, 3 November 2014
Tags: DB-Engines Ranking

The November ranking presents some interesting newcomers together with winners and losers, which one might not have expected.

Database as a Service offerings becoming popular?
by Paul Andlinger, 1 October 2014
Tags: DBaaS

Nowadays, everything seems to be delivered out of the cloud. We analysed whether that holds true for database systems.

Notable DBMS presentation: Yao Yu on how Redis is used at Twitter
by Matthias Gelbmann, 25 September 2014
Tags: Redis

Building the caching layer at Twitter is not an everyday challenge. Yao Yu presents why and how they are using Redis for that task.

Open source RDBMS are gaining in popularity, but jobs are found elsewhere.
by Paul Andlinger, 2 September 2014
Tags: Commercial DBMS, DB-Engines Ranking, DB-Engines Reports, Open source DBMS

The September ranking shows the open source systems MySQL and PostgreSQL as the clear winners of the relational category. But a deeper look into the ranking sources reveals, that jobs are rather offered for the commercial tools Oracle, Microsoft SQL Server and DB2.

Meet some database management systems you are likely to hear more about in the future
by Paul Andlinger, 4 August 2014
Tags: Cloudant, DB-Engines Ranking, MemSQL, NuoDB, RethinkDB

Some of the systems in our long list of database management systems are not yet that popular, but show a strong upward trend.

Enterprise Search Engines almost double their popularity in the last 12 months
by Paul Andlinger, 2 July 2014
Tags: Database models, Elasticsearch, Endeca, Search engines, Solr, Splunk

Enterprise Search Engines are gaining popularity in the database market. Two systems, Solr and Elasticsearch are leading that very special category of DBMS tools.

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
by Matthias Gelbmann, 2 June 2014
Tags: Couchbase, CouchDB

Couchbase has seen a steady growth of its popularity ever since we started our ranking. This month it has advanced to rank #26 out of 221 systems, and it doesn't look like it will stop there.

Open source DBMS's are gaining in popularity at the expense of commercial systems
by Paul Andlinger, 5 May 2014
Tags: Commercial DBMS, DB-Engines Ranking, Open source DBMS

If we split up the popularity scores of the DB-Engines Ranking into open source vs. commercial database systems, the commercial systems are still leading by 59:41. However, that ratio is down from 64:36 at the beginning of last year.

Cassandra gained one rank and improves to 9th position
by Paul Andlinger, 2 April 2014
Tags: Cassandra, Database models, Graph DBMS, Relational DBMS, Wide column stores

While Cassandra achieves its best position ever, other trends are stabilizing in this months ranking.

Multi-model database systems as a new trend!
by Paul Andlinger, 3 March 2014
Tags: DB-Engines Ranking, Multi-model DBMS

According to the trend to multi-model database systems, we made some changes to our categorization methodology and reclassified a couple of systems.

Redis extends the lead in the DB-Engines key-value store ranking
by Matthias Gelbmann, 3 February 2014
Tags: Key-value stores, Memcached, Redis, Riak

Despite very fierce competition, Redis remains the most popular key-value store and they keep getting stronger.

Graph DBMSs are gaining in popularity faster than any other database category
by Matthias Gelbmann, 21 January 2014
Tags: Graph DBMS, Neo4j, OrientDB, Relational DBMS, Titan

When we look at how much various categories of database management systems increased their popularity last year, Graph DBMSs are the clear winner with more than 250% increase.

MongoDB is the DBMS of the year
by Matthias Gelbmann, Paul Andlinger, 7 January 2014
Tags: Cassandra, DBMS of the year, MongoDB, PostgreSQL

MongoDB is the database management system that gained more popularity in our DB-Engines Ranking within the last year than any other system.
We thus declare MongoDB as the DBMS of the year 2013.

NoSQL systems continue to be on the rise
by Matthias Gelbmann, 3 December 2013
Tags: DB-Engines Ranking, NoSQL, Relational DBMS

The DB-Engines Ranking for December shows a decline in the ranking score for two of the dominant relational systems, while most others, particularly the NoSQL systems are gaining.

RDBMS dominate the database market, but NoSQL systems are catching up
by Paul Andlinger, 21 November 2013
Tags: Database models, NoSQL, Relational DBMS

Based on the popularity ranking, DB-Engines presents new statistics, which show that relational systems currently totally dominate the database market, but NoSQL systems have a strong upcoming trend.

DB-Engines Ranking now covers more than 200 database management systems
by Matthias Gelbmann, 1 November 2013
Tags: DB-Engines Ranking

By adding another 10 tools to our DBMS popularity ranking, we now cover 204 tools.

One year of DB-Engines.com
by Paul Andlinger, Matthias Gelbmann, 2 October 2013
Tags: DB-Engines Ranking

DB-Engines.com went online exactly one year ago. Time for a little review.

Cassandra advances into the top 10 most popular database engines
by Paul Andlinger, 3 September 2013
Tags: Cassandra, NoSQL

The top 10 database engines now include two NoSQL systems, after Cassandra gained one rank.

MongoDB climbs to rank 6 in the DB-Engines Ranking, overtaking Microsoft Access
by Matthias Gelbmann, 2 August 2013
Tags: DB2, MongoDB, MySQL, PostgreSQL

MongoDB, the most popular NoSQL database in our ranking, continues to increase its score and rank.

Has MySQL finally lost its mojo?
by Matthias Gelbmann, 1 July 2013
Tags: Drizzle, MariaDB, Microsoft SQL Server, MySQL, Percona Server

MySQL lost rank 2 to Microsoft SQL Server in the DB-Engines ranking. Is this a temporary fluctuation in popularity as we have seen it before, or is this more?

DB-Engines Ranking coverage expanded to 169 database management systems
by Paul Andlinger, 3 June 2013
Tags: DB-Engines Ranking, dBASE

We added another 15 DBMS to our ranking.

Why is Hadoop not listed in the DB-Engines Ranking?
by Paul Andlinger, 13 May 2013
Tags: Cassandra, Hadoop, HBase, Hive

We are often asked why we do not list Hadoop in the DB-Engines ranking. So we provide the way we see it.

MS Access drops in DB-Engines Ranking
by Paul Andlinger, 2 May 2013
Tags: DB2, Microsoft Access, MongoDB, PostgreSQL

In the new edition of the DB-Engines Ranking MS Access loses a rank to DB2 and falls back to rank #6.

RSS feeds for DB-Engines blog and ranking
by Matthias Gelbmann, 16 April 2013

In order to make it easier for you to stay informed about our site, we provide now RSS feeds for our blog and for the DB-Engines Ranking.

Historical trends of DB-Engines popularity ranking
by Paul Andlinger, Matthias Gelbmann, 5 April 2013
Tags: DB-Engines Ranking

Sometimes, the changes of popularity over time is more interesting than the absolute values. Therefore, we start presenting historical data of our DB-Engines ranking.

Teradata is the most popular data warehouse DBMS
by Paul Andlinger, 2 April 2013
Tags: Data warehouse, Teradata

We have added several database management systems specialized in data warehousing to our ranking, and Teradata comes out as most popular amongst them.

PostgreSQL advances to rank 4 in DB-Engines Ranking
by Paul Andlinger, 4 March 2013
Tags: PostgreSQL

PostgreSQL moved up one rank at the expense of Microsoft Access.

The DB-Engines ranking includes now search engines
by Paul Andlinger, 4 February 2013
Tags: Amazon CloudSearch, Compass, Elasticsearch, Search engines, Solr, Sphinx

Starting with the February data, we include search engines as new category in our DB-Engines ranking.

Our DB-Engines ranking identifies the most popular DBMS systems in various database model categories
by Paul Andlinger, Matthias Gelbmann, 22 January 2013
Tags: Database models, DB-Engines Ranking, Document stores, Graph DBMS, Key-value stores, RDF stores, Wide column stores

We have introduced sub-rankings by spliting up the DBMS systems per database models.

Oracle and Cassandra increase their DB-Engines Ranking score
by Paul Andlinger, 2 January 2013
Tags: Cassandra, DB-Engines Ranking, Microsoft SQL Server, MySQL, Oracle

Among the top 10 DB engines, only Oracle and Cassandra could increase their popularity score, while MySQL regained rank 2 from SQL Server.

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
by Matthias Gelbmann, 3 December 2012
Tags: DB2, Microsoft Access, Microsoft SQL Server, MongoDB, MySQL, Oracle, PostgreSQL

After it slipped last month to rank 3 behind MySQL, SQL Server is back to position 2 in our December ranking with a very small difference in the scores.

DB-Engines popularity ranking greatly expanded
by Matthias Gelbmann, 5 November 2012
Tags: DB-Engines Ranking

In the new November ranking we have added more than 50 additional database management systems.

New DB-Engines Ranking shows the popularity of database management systems
by Matthias Gelbmann, Paul Andlinger, 3 October 2012
Tags: Cassandra, DB-Engines Ranking, DB2, Memcached, Microsoft Access, Microsoft SQL Server, MongoDB, MySQL, Oracle

Oracle is the most popular DBMS, MongoDB is the most popular NoSQL system.

DB-Engines launched
by Paul Andlinger, Matthias Gelbmann, 1 October 2012
Tags: DB-Engines Ranking, NoSQL

DB-Engines is a new initiative to collect and present information on relational and NoSQL database management systems.