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DBMS > Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. TDSQL for MySQL vs. VelocityDB

System Properties Comparison Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. TDSQL for MySQL 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 comparisonTDSQL for MySQL  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 environmentsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.tencentcloud.com/­products/­dcdbvelocitydb.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasehelp.sap.com/­docs/­SAP_SQL_Anywherewww.tencentcloud.com/­document/­product/­1042velocitydb.com/­UserGuide
DeveloperCognitectGoogle infoacquired by Google 2014SAP infoformerly SybaseTencentVelocityDB Inc
Initial release20122012199220132011
Current release1.0.6735, June 202317, July 20157.x
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC#
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
hostedAny that supports .NET
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
.Net
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'yes, in C/C++, Java, .Net or Perlyesno
TriggersBy using transaction functionsCallbacks are triggered when data changesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
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)yesyesyesyes
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 developmentyesnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptBased on Windows Authentication

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More resources
DatomicFirebase Realtime DatabaseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTDSQL for MySQLVelocityDB
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