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.» mehr
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.» mehr
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
von Alastair Green (guest author), 30. Mai 2018
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.» mehr
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.» mehr
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
von Arnaud Comet, Microsoft (sponsor) , 1. November 2017
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).» mehr
We launched DB-Engines five years ago. This is a little summary of how it started and what we have achieved.» mehr
The Weight of Relational Databases: Time for Multi-Model?
von Luca Olivari (guest author), 29. August 2017
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?» mehr
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.» mehr
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.» mehr
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.» mehr
The popularity of cloud-based DBMSs has increased tenfold in four years
von Matthias Gelbmann, 7. Februar 2017
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.» mehr
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.
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.» mehr
The popularity of open source DBMSs, as measured by the DB-Engines Ranking, has reached a new record. We analyze the underlying details.» mehr
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.» mehr
PostgreSQL passed MongoDB and ranks 4th, only behind the big three DBMS Oracle, MySQL and SQL Server.» mehr
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.» mehr
Enriching Property Graphs with Relationship Objects
von Jans Aasman (guest author), 21. Juni 2016
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.» mehr
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.» mehr
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.» mehr
By adding another 4 tools to our DBMS popularity ranking, we now cover 303 tools.» mehr
MySQL, PostgreSQL and Redis are the winners of the March ranking
von Paul Andlinger, 2. März 2016
While the open-source DBMS show a very good performance in this months ranking, we monitor some popularity drops for the large commercial systems.» mehr
Big gains for Relational Database Management Systems in DB-Engines Ranking
von Matthias Gelbmann, 2. Februar 2016
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.» mehr
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.
Learn how you can get involved with the graph database community’s newest collaboration: the openCypher project, an open source query language for graphs.» mehr
Data Modeling in Document Databases for the RDBMS-Minded
von Cihan Biyikoglu (guest author), 7. Dezember 2015
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!» mehr
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?» mehr
Master Data Management Remains Siloed Without Semantics
von Jans Aasman (guest author), 16. November 2015
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.» mehr
Oracle, MongoDB, MySQL, ElasticSearch, Cassandra and MariaDB are the winners in the current ranking.
IBM's DB2 and IBM dashDB show converse performances.» mehr
Increased popularity for consuming DBMS services out of the cloud
von Paul Andlinger, 2. Oktober 2015
According to the recent DB-Engines ranking, the popularity of Database as a Service offerings almost doubled in the last 12 months.» mehr
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.» mehr
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.» mehr
With the current ranking, we introduced the new category Time Series DBMS and added 15 systems of that kind to our ranking.» mehr
MySQL is the clear winner of the April ranking, but the various forks do not show a uniform performance.» mehr
Graph DBMS show an extraordinary momentum and are making their way into enterprises.» mehr
We have added another 16 systems to our ranking, rounding it up to 256.» mehr
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 DB-Engines Ranking: newcomers, winners & losers
von Paul Andlinger, 3. November 2014
The November ranking presents some interesting newcomers together with winners and losers, which one might not have expected.» mehr
Nowadays, everything seems to be delivered out of the cloud. We analysed whether that holds true for database systems.» mehr
Notable DBMS presentation: Yao Yu on how Redis is used at Twitter
von Matthias Gelbmann, 25. September 2014
Building the caching layer at Twitter is not an everyday challenge. Yao Yu presents why and how they are using Redis for that task.» mehr
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.» mehr
Some of the systems in our long list of database management systems are not yet that popular, but show a strong upward trend.» mehr
Enterprise Search Engines are gaining popularity in the database market. Two systems, Solr and Elasticsearch are leading that very special category of DBMS tools.» mehr
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.» mehr
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.» mehr
While Cassandra achieves its best position ever, other trends are stabilizing in this months ranking.» mehr
According to the trend to multi-model database systems, we made some changes to our categorization methodology and reclassified a couple of systems.» mehr
Despite very fierce competition, Redis remains the most popular key-value store and they keep getting stronger.» mehr
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.» mehr
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.» mehr
By adding another 10 tools to our DBMS popularity ranking, we now cover 204 tools.» mehr
DB-Engines.com went online exactly one year ago. Time for a little review.» mehr
Cassandra advances into the top 10 most popular database engines
von Paul Andlinger, 3. September 2013
The top 10 database engines now include two NoSQL systems, after Cassandra gained one rank.» mehr
MongoDB, the most popular NoSQL database in our ranking, continues to increase its score and rank.» mehr
We added another 15 DBMS to our ranking.» mehr
In the new edition of the DB-Engines Ranking MS Access loses a rank to DB2 and falls back to rank #6.» mehr
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.» mehr
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.» mehr
We have added several database management systems specialized in data warehousing to our ranking, and Teradata comes out as most popular amongst them.» mehr
PostgreSQL advances to rank 4 in DB-Engines Ranking
von Paul Andlinger, 4. März 2013
Starting with the February data, we include search engines as new category in our DB-Engines ranking.» mehr
Our DB-Engines ranking identifies the most popular DBMS systems in various database model categories
von Paul Andlinger, Matthias Gelbmann, 22. Januar 2013
We have introduced sub-rankings by spliting up the DBMS systems per database models.» mehr
Among the top 10 DB engines, only Oracle and Cassandra could increase their popularity score, while MySQL regained rank 2 from SQL Server.» mehr
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.» mehr
Ein Artikel von uns über NoSQL ist im renommierten österreichischen IT Magazin Computerwelt erschienen.» mehr
In the new November ranking we have added more than 50 additional database management systems.» mehr
DB-Engines bringt verstÃ¤ndliche ErklÃ¤rungen fÃ¼r aktuelle Begriffe und Konzepte der Datenbanktechnologie. Fokussiert haben wir uns auf jene Themen, die bei Diskussionen Ã¼ber "klassische" und NoSQL Datenbanksysteme im Mittelpunkt stehen.» mehr
New DB-Engines Ranking shows the popularity of database management systems
von Matthias Gelbmann, Paul Andlinger, 3. Oktober 2012
Oracle is the most popular DBMS, MongoDB is the most popular NoSQL system.» mehr