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DBMS > AlaSQL vs. CrateDB vs. Hive vs. Riak TS

System Properties Comparison AlaSQL vs. CrateDB vs. Hive vs. Riak TS

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCrateDB  Xexclude from comparisonHive  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionJavaScript DBMS libraryDistributed Database based on Lucenedata warehouse software for querying and managing large distributed datasets, built on HadoopRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelDocument store
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Websitealasql.orgcratedb.comhive.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlcratedb.com/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAndrey Gershun & Mathias R. WulffCrateApache Software Foundation infoinitially developed by FacebookOpen Source, formerly Basho Technologies
Initial release2014201320122015
Current release3.1.3, April 20223.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen SourceOpen Source infoApache Version 2Open 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 languageJavaScriptJavaJavaErlang
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMLinux
OS X
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statementsyes, limited
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
Supported programming languagesJavaScript.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++
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions (Javascript)yes infouser defined functions and integration of map-reduceErlang
Triggersyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infounique row identifiers can be used for implementing an optimistic concurrency control strategynono
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.yesno
User concepts infoAccess controlnorights management via user accountsAccess rights for users, groups and rolesno
More information provided by the system vendor
AlaSQLCrateDBHiveRiak TS
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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AlaSQLCrateDBHiveRiak TS
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