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DBMS > Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. Sphinx vs. VelocityDB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score4.89
Rank#77  Overall
#42  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Score0.08
Rank#362  Overall
#38  Graph DBMS
#15  Object oriented DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.comvelocitydb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasehelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperCognitectGoogle infoacquired by Google 2014SAP infoformerly SybaseSphinx Technologies Inc.VelocityDB Inc
Initial release20122012199220012011
Current release1.0.6735, June 202317, July 20153.5.1, February 20237.x
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C#
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol.Net
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'yes, in C/C++, Java, .Net or Perlnono
TriggersBy using transaction functionsCallbacks are triggered when data changesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 developmentyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoBased on Windows Authentication

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More resources
DatomicFirebase Realtime DatabaseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinxVelocityDB
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