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DBMS > Datomic vs. QuestDB vs. RocksDB vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. QuestDB vs. RocksDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.96
Rank#119  Overall
#58  Relational DBMS
Score0.55
Rank#233  Overall
#15  Time Series DBMS
Score3.58
Rank#87  Overall
#14  Key-value stores
Score5.61
Rank#64  Overall
#35  Relational DBMS
Websitewww.datomic.comquestdb.iorocksdb.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationdocs.datomic.comquestdb.io/­docs/­introductiongithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­sql-anywhere
DeveloperCognitectQuestDB LimitedFacebook, Inc.SAP infoformerly Sybase
Initial release2012201420131992
Current release0.9.5951, July 20196.20.3, May 202117, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by timestamps)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersConfigurable consistency for N replicasnoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infothrough memory mapped filesyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
DatomicQuestDBRocksDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

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QuestDB release January 2021
5 February 2021

Building a garbage-free network stack for Kafka streams
10 December 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatomicQuestDBRocksDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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