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DBMS > CrateDB vs. LeanXcale vs. TimescaleDB

System Properties Comparison CrateDB vs. LeanXcale vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS
Search engine
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.83
Rank#194  Overall
#95  Relational DBMS
#12  Search engines
Score0.30
Rank#269  Overall
#40  Key-value stores
#124  Relational DBMS
Score3.41
Rank#89  Overall
#5  Time Series DBMS
Websitecrate.iowww.leanxcale.comwww.timescale.com
Technical documentationcrate.io/­docsdocs.timescale.com
DeveloperCrateLeanXcaleTimescale
Initial release201320152017
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java 7 (and higher) VMLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyes infothrough Apache Derbyyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
Java
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
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 strategyACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
CrateDBLeanXcaleTimescaleDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
15 beta testers
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
annual fee covering license and support based on number of physical cores
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more
Related products and services
3rd partiesClusterControl: the only management system you’ll ever need to take control of your open source database infrastructure.
» more

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More resources
CrateDBLeanXcaleTimescaleDB
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