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DBMS > Datomic vs. DuckDB vs. IBM Db2 Event Store vs. RocksDB vs. SiriDB

System Properties Comparison Datomic vs. DuckDB vs. IBM Db2 Event Store vs. RocksDB vs. SiriDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDuckDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRocksDB  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn embeddable, in-process, column-oriented SQL OLAP RDBMSDistributed Event Store optimized for Internet of Things use casesEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score4.46
Rank#81  Overall
#43  Relational DBMS
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.52
Rank#80  Overall
#10  Key-value stores
Score0.10
Rank#352  Overall
#35  Time Series DBMS
Websitewww.datomic.comduckdb.orgwww.ibm.com/­products/­db2-event-storerocksdb.orgsiridb.com
Technical documentationdocs.datomic.comduckdb.org/­docswww.ibm.com/­docs/­en/­db2-event-storegithub.com/­facebook/­rocksdb/­wikidocs.siridb.com
DeveloperCognitectIBMFacebook, Inc.Cesbit
Initial release20122018201720132017
Current release1.0.6735, June 20230.10, February 20242.08.10.0, December 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT Licensecommercial infofree developer edition availableOpen Source infoBSDOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++C++C
Server operating systemsAll OS with a Java VMserver-lessLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoNumeric data
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.nonononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimenono
APIs and other access methodsRESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
HTTP API
Supported programming languagesClojure
Java
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesnono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneActive-active shard replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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 developmentyesyesyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnosimple rights management via user accounts

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicDuckDBIBM Db2 Event StoreRocksDBSiriDB
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