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DBMS > Datomic vs. HarperDB vs. IBM Db2 Event Store vs. InfinityDB vs. RethinkDB

System Properties Comparison Datomic vs. HarperDB vs. IBM Db2 Event Store vs. InfinityDB vs. RethinkDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInfinityDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Distributed Event Store optimized for Internet of Things use casesA Java embedded Key-Value Store which extends the Java Map interfaceDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument storeEvent Store
Time Series DBMS
Key-value storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score2.58
Rank#105  Overall
#20  Document stores
Websitewww.datomic.comwww.harperdb.iowww.ibm.com/­products/­db2-event-storeboilerbay.comrethinkdb.com
Technical documentationdocs.datomic.comdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-storeboilerbay.com/­infinitydb/­manualrethinkdb.com/­docs
DeveloperCognitectHarperDBIBMBoiler Bay Inc.The Linux Foundation infosince July 2017
Initial release20122017201720022009
Current release1.0.7180, July 20243.1, August 20212.04.02.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community edition availablecommercial infofree developer edition availablecommercialOpen Source infoApache Version 2
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, ClojureNode.jsC and C++JavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMLinux
OS X
Windows
Data schemeyesdynamic schemayesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infostring, binary, float, bool, date, geometry
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 indexesyesyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infothrough the embedded Spark runtimenono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesClojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction FunctionsCustom Functions infosince release 3.1yesno
TriggersBy using transaction functionsnononoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusterShardingnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definedActive-active shard replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID infoOptimistic locking for transactions; no isolation for bulk loadsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes infoMVCC based
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDBYes - 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 developmentyesyesnono
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardnoyes infousers and table-level permissions

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More resources
DatomicHarperDBIBM Db2 Event StoreInfinityDBRethinkDB
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