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DBMS > Datomic vs. Oracle Berkeley DB vs. PouchDB vs. SAP SQL Anywhere vs. SQream DB

System Properties Comparison Datomic vs. Oracle Berkeley DB vs. PouchDB vs. SAP SQL Anywhere vs. SQream DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.datomic.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsqream.com
Technical documentationdocs.datomic.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guideshelp.sap.com/­docs/­SAP_SQL_Anywheredocs.sqream.com
DeveloperCognitectOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationSAP infoformerly SybaseSQream Technologies
Initial release20121994201219922017
Current release1.0.7075, December 202318.1.40, May 20207.1.1, June 201917, July 20152022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infocommercial license availableOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, Java, C++ (depending on the Berkeley DB edition)JavaScriptC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes, ANSI Standard SQL Types
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.noyes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenoyesyes
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesClojure
Java
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScriptC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoView functions in JavaScriptyes, in C/C++, Java, .Net or Perluser defined functions in Python
TriggersBy using transaction functionsyes infoonly for the SQL APIyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infowith a proxy-based framework, named couchdb-loungenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
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
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
DatomicOracle Berkeley DBPouchDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQream DB
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