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DBMS > CrateDB vs. OrigoDB vs. SQL.JS vs. TerminusDB

System Properties Comparison CrateDB vs. OrigoDB vs. SQL.JS vs. TerminusDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDistributed Database based on LuceneA fully ACID in-memory object graph databasePort of SQLite to JavaScriptScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Relational DBMSGraph DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecratedb.comorigodb.comsql.js.orgterminusdb.com
Technical documentationcratedb.com/­docsorigodb.com/­docssql.js.org/­documentation/­index.htmlterminusdb.github.io/­terminusdb/­#
DeveloperCrateRobert Friberg et alAlon Zakai infoenhancements implemented by othersDataChemist Ltd.
Initial release20132009 infounder the name LiveDB20122018
Current release11.0.0, January 2023
License infoCommercial or Open SourceOpen SourceOpen SourceOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaC#JavaScriptProlog, Rust
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes infoSQL-92 is not fully supportedSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JavaScript APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.NetJavaScriptJavaScript
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesnoyes
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizednoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
none
Foreign keys infoReferential integritynodepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logno infoexcept by serializing a db to a fileyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsRole based authorizationnoRole-based access control
More information provided by the system vendor
CrateDBOrigoDBSQL.JSTerminusDB infoformer name was DataChemist
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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CrateDBOrigoDBSQL.JSTerminusDB infoformer name was DataChemist
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