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DBMS > CrateDB vs. Machbase Neo vs. RDFox vs. Sadas Engine

System Properties Comparison CrateDB vs. Machbase Neo vs. RDFox vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonRDFox  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDistributed Database based on LuceneTimeSeries DBMS for AIoT and BigDataHigh performance knowledge graph and semantic reasoning engineSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMS
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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitecratedb.commachbase.comwww.oxfordsemantic.techwww.sadasengine.com
Technical documentationcratedb.com/­docsmachbase.com/­dbmsdocs.oxfordsemantic.techwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCrateMachbaseOxford Semantic TechnologiesSADAS s.r.l.
Initial release2013201320172006
Current releaseV8.0, August 20236.0, Septermber 20228.0
License infoCommercial or Open SourceOpen Sourcecommercial infofree test version availablecommercialcommercial infofree trial version available
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 languageJavaCC++C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Windows
Linux
macOS
Windows
AIX
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
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
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)nono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelselectable replication factorreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 strategynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlrights management via user accountssimple password-based access controlRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CrateDBMachbase Neo infoFormer name was InfinifluxRDFoxSadas Engine
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
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Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
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Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
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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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More resources
CrateDBMachbase Neo infoFormer name was InfinifluxRDFoxSadas Engine
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