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DBMS > CrateDB vs. Graphite vs. Rockset vs. TerminusDB

System Properties Comparison CrateDB vs. Graphite vs. Rockset vs. TerminusDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGraphite  Xexclude from comparisonRockset  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionDistributed Database based on LuceneData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA scalable, reliable search and analytics service in the cloud, built on RocksDBScalable 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
Time Series DBMSDocument storeGraph DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Document 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
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecratedb.comgithub.com/­graphite-project/­graphite-webrockset.comterminusdb.com
Technical documentationcratedb.com/­docsgraphite.readthedocs.iodocs.rockset.comterminusdb.github.io/­terminusdb/­#
DeveloperCrateChris DavisRocksetDataChemist Ltd.
Initial release2013200620192018
Current release11.0.0, January 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen 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.
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 languageJavaPythonC++Prolog, Rust
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Unix
hostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlydynamic typingyes
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.nonono infoingestion from XML files supportedno
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoRead-only SQL queries, including JOINsSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP API
Sockets
HTTP RESTOWL
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
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)nonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelnoneyesJournaling 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
noneEventual Consistency
Foreign keys infoReferential integritynononoyes
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 strategynonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlrights management via user accountsnoAccess rights for users and organizations can be defined via Rockset consoleRole-based access control
More information provided by the system vendor
CrateDBGraphiteRocksetTerminusDB 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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CrateDBGraphiteRocksetTerminusDB infoformer name was DataChemist
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