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DBMS > ArcadeDB vs. Axibase vs. BoltDB vs. CrateDB

System Properties Comparison ArcadeDB vs. Axibase vs. BoltDB vs. CrateDB

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonAxibase  Xexclude from comparisonBoltDB  Xexclude from comparisonCrateDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAn embedded key-value store for Go.Distributed Database based on Lucene
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Websitearcadedb.comaxibase.com/­docs/­atsd/­financegithub.com/­boltdb/­boltcratedb.com
Technical documentationdocs.arcadedb.comcratedb.com/­docs
DeveloperArcade DataAxibase CorporationCrate
Initial release2021201320132013
Current releaseSeptember 202115585
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoMIT LicenseOpen Source
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 languageJavaJavaGoJava
Server operating systemsAll OS with a Java VMLinuxBSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like query languagenoyes, but no triggers and constraints, and PostgreSQL compatibility
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesJavaGo
Java
PHP
Python
R
Ruby
Go.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
Server-side scripts infoStored proceduresyesnouser defined functions (Javascript)
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyes inforelationship in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnorights management via user accounts
More information provided by the system vendor
ArcadeDBAxibaseBoltDBCrateDB
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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ArcadeDBAxibaseBoltDBCrateDB
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