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DBMS > AlaSQL vs. Alibaba Cloud Table Store vs. Citus vs. CrateDB

System Properties Comparison AlaSQL vs. Alibaba Cloud Table Store vs. Citus vs. CrateDB

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonCitus  Xexclude from comparisonCrateDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed Database based on Lucene
Primary database modelDocument store
Relational DBMS
Wide column storeRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.31
Rank#297  Overall
#11  Wide column stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­table-storewww.citusdata.comcratedb.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­tablestoredocs.citusdata.comcratedb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffAlibabaCrate
Initial release2014201620102013
Current release8.1, December 2018
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoAGPL, commercial license also availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaScriptCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
Data schemeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes
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 infospecific XML type available, but no XML query functionalityno
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infostandard, with numerous extensionsyes, but no triggers and constraints, and PostgreSQL compatibility
APIs and other access methodsJavaScript APIHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesJavaScriptJava
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.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 proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions (Javascript)
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensionsConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-row operationsACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategy
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnoAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
AlaSQLAlibaba Cloud Table StoreCitusCrateDB
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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AlaSQLAlibaba Cloud Table StoreCitusCrateDB
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