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DBMS > EJDB vs. IBM Db2 Event Store vs. Lovefield vs. OrigoDB vs. SAP SQL Anywhere

System Properties Comparison EJDB vs. IBM Db2 Event Store vs. Lovefield vs. OrigoDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonOrigoDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Distributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptA fully ACID in-memory object graph databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldorigodb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperSoftmotionsIBMGoogleRobert Friberg et alSAP infoformerly Sybase
Initial release2012201720142009 infounder the name LiveDB1992
Current release2.02.1.12, February 201717, July 2015
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infofree developer edition availableOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaScriptC#
Server operating systemsserver-lessLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETyes
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsin-process shared libraryADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript.NetC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyesyes, in C/C++, Java, .Net or Perl
TriggersnonoUsing read-only observersyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationnoneSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write LockingNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - 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 Databaseyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoRole based authorizationfine grained access rights according to SQL-standard

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More resources
EJDBIBM Db2 Event StoreLovefieldOrigoDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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