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DBMS > Datomic vs. EJDB vs. FeatureBase vs. IBM Db2 Event Store vs. Lovefield

System Properties Comparison Datomic vs. EJDB vs. FeatureBase vs. IBM Db2 Event Store vs. Lovefield

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Distributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSDocument storeRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitewww.datomic.comgithub.com/­Softmotions/­ejdbwww.featurebase.comwww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefield
Technical documentationdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.featurebase.comwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCognitectSoftmotionsMolecula and Pilosa Open Source ContributorsIBMGoogle
Initial release20122012201720172014
Current release1.0.7075, December 20232022, May 20222.02.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPLv2commercialcommercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCGoC and C++JavaScript
Server operating systemsAll OS with a Java VMserver-lessLinux
macOS
Linux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLnonoSQL queriesyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP APIin-process shared librarygRPC
JDBC
Kafka Connector
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesno
TriggersBy using transaction functionsnononoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneyesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, using Linux fsyncYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Database
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 developmentyesyesyes infousing MemoryDB
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno

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More resources
DatomicEJDBFeatureBaseIBM Db2 Event StoreLovefield
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