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DBMS > Apache IoTDB vs. CrateDB vs. Postgres-XL

System Properties Comparison Apache IoTDB vs. CrateDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCrateDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkDistributed Date Store based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#255  Overall
#20  Time Series DBMS
Score1.00
Rank#176  Overall
#86  Relational DBMS
#13  Search engines
Score0.71
Rank#208  Overall
#99  Relational DBMS
Websiteiotdb.apache.orgcrate.iowww.postgres-xl.org
Technical documentationcrate.io/­docswww.postgres-xl.org/­documentation
DeveloperApache Software FoundationCrate
Initial release201820132014 infosince 2012, originally named StormDB
Current release10 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java 7 (and higher) VMLinux
macOS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes, but no triggers and constraintsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
Native API
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoMVCC
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.yesnono
User concepts infoAccess controlyesrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBCrateDBPostgres-XL
Specific characteristicsApache IoTDB (Internet of Things Database) is a time series data management system...
» more
CrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesLow Cost and High Performance Tens of million points write throughput High compression...
» more
CrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosIoT / IIoT End-Edge-Cloud Collaboration Real-Time and Historian Time Series Analytics
» more
CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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Key customersOver 200 customers worldwide, including Bosch, Siemens, Komat'su, Alibaba, etc.
» more
CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metrics185+ contributors and 10,000+ times monthly clones on GitHub Rank 7 by commits among...
» more
The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsOpen Source: Apache License v2.0 Pricing for commercial-/cloud-/edge-edition provided...
» more
CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
Apache IoTDBCrateDBPostgres-XL
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