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DBMS > Datomic vs. EsgynDB vs. Graphite vs. IBM Db2 Event Store vs. Riak KV

System Properties Comparison Datomic vs. EsgynDB vs. Graphite vs. IBM Db2 Event Store vs. Riak KV

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use casesDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSEvent Store
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.datomic.comwww.esgyn.cngithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-store
Technical documentationdocs.datomic.comgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-storewww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCognitectEsgynChris DavisIBMOpenSource, formerly Basho Technologies
Initial release20122015200620172009
Current release1.0.7075, December 20232.03.2.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaPythonC and C++Erlang
Server operating systemsAll OS with a Java VMLinuxLinux
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesno
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 indexesyesyesnonorestricted
SQL infoSupport of SQLnoyesnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetJavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored ProceduresnoyesErlang
TriggersBy using transaction functionsnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersnoneActive-active shard replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingNo - written data is immutableyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 developmentnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardyes, using Riak Security

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More resources
DatomicEsgynDBGraphiteIBM Db2 Event StoreRiak KV
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