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DBMS > Datomic vs. Google Cloud Firestore vs. Graph Engine vs. RocksDB vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Google Cloud Firestore vs. Graph Engine vs. RocksDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSDocument storeGraph DBMS
Key-value store
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comfirebase.google.com/­products/­firestorewww.graphengine.iorocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestorewww.graphengine.io/­docs/­manualgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectGoogleMicrosoftFacebook, Inc.SAP infoformerly Sybase
Initial release20122017201020131992
Current release1.0.6735, June 20238.11.4, April 202417, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoMIT LicenseOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure.NET and CC++
Server operating systemsAll OS with a Java VMhosted.NETLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
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.nonononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
F#
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, Firebase Rules & Cloud Functionsyesnoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioninghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoyesACID
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)yesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nofine grained access rights according to SQL-standard

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatomicGoogle Cloud FirestoreGraph Engine infoformer name: TrinityRocksDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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