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

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPouchDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDatomic 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 PlatformJavaScript DBMS with an API inspired by CouchDBScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument storeDocument storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.datomic.comcloud.google.com/­datastorepouchdb.comterminusdb.com
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docspouchdb.com/­guidesterminusdb.github.io/­terminusdb/­#
DeveloperCognitectGoogleApache Software FoundationDataChemist Ltd.
Initial release2012200820122018
Current release1.0.6735, June 20237.1.1, June 201911.0.0, January 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScriptProlog, Rust
Server operating systemsAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details herenoyes
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 infovia views
SQL infoSupport of SQLnoSQL-like query language (GQL)noSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptJavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsusing Google App EngineView functions in JavaScriptyes
TriggersBy using transaction functionsCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infowith a proxy-based framework, named couchdb-loungeGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using PaxosMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory journaling
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 (IAM)noRole-based access control

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More resources
DatomicGoogle Cloud DatastorePouchDBTerminusDB infoformer name was DataChemist
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