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DBMS > AgensGraph vs. Datomic vs. Google Cloud Datastore vs. TerminusDB

System Properties Comparison AgensGraph vs. Datomic vs. Google Cloud Datastore vs. TerminusDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitebitnine.net/­agensgraphwww.datomic.comcloud.google.com/­datastoreterminusdb.com
Technical documentationbitnine.net/­documentationdocs.datomic.comcloud.google.com/­datastore/­docsterminusdb.github.io/­terminusdb/­#
DeveloperBitnine Global Inc.CognitectGoogleDataChemist Ltd.
Initial release2016201220082018
Current release2.1, December 20181.0.6735, June 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infolimited edition freecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureProlog, Rust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Data schemedepending on used data modelyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language (GQL)SQL-like query language (WOQL)
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
Java
JavaScript
Python
Clojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsusing Google App Engineyes
TriggersnoBy using transaction functionsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoBut extensive use of caching in the application peersShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication using PaxosJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control

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More resources
AgensGraphDatomicGoogle Cloud DatastoreTerminusDB infoformer name was DataChemist
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