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DBMS > CrateDB vs. JaguarDB vs. LMDB vs. XTDB

System Properties Comparison CrateDB vs. JaguarDB vs. LMDB vs. XTDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonLMDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed Database based on LucenePerformant, highly scalable DBMS for AI and IoT applicationsA high performant, light-weight, embedded key-value database libraryA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Vector DBMS
Key-value storeDocument store
Secondary database modelsRelational 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
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Websitecratedb.comwww.jaguardb.comwww.symas.com/­symas-embedded-database-lmdbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcratedb.com/­docswww.jaguardb.com/­support.htmlwww.lmdb.tech/­docwww.xtdb.com/­docs
DeveloperCrateDataJaguar, Inc.SymasJuxt Ltd.
Initial release2013201520112019
Current release3.3 July 20230.9.32, January 20241.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL V3.0Open SourceOpen Source infoMIT License
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++ infothe server part. Clients available in other languagesCClojure
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxLinux
Unix
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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 indexesyesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnolimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
HTTP REST
JDBC
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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions (Javascript)nonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replicationnoneyes, each node contains all data
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
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 strategynoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsrights management via user accountsno
More information provided by the system vendor
CrateDBJaguarDBLMDBXTDB infoformerly named Crux
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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More resources
CrateDBJaguarDBLMDBXTDB infoformerly named Crux
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