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DBMS > Datomic vs. Google Cloud Firestore vs. OpenTSDB vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Google Cloud Firestore vs. OpenTSDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOpenTSDB  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.Scalable Time Series DBMS based on HBaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitewww.datomic.comfirebase.google.com/­products/­firestoreopentsdb.netwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestoreopentsdb.net/­docs/­build/­html/­index.htmlhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectGooglecurrently maintained by Yahoo and other contributorsSAP infoformerly Sybase
Initial release2012201720111992
Current release1.0.6735, June 202317, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava
Server operating systemsAll OS with a Java VMhostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Telnet API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, Firebase Rules & Cloud Functionsnoyes, 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 peersShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationselectable replication factor infobased on HBaseSource-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 infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentnoyes
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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More resources
DatomicGoogle Cloud FirestoreOpenTSDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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