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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. CockroachDB vs. Valentina Server vs. WakandaDB

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. CockroachDB vs. Valentina Server vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonValentina Server  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Object-relational database and reports serverWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgwww.cockroachlabs.comwww.valentina-db.netwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwakanda.github.io/­doc
DeveloperAlibabaApache Software Foundation and contributorsCockroach LabsParadigma SoftwareWakanda SAS
Initial release20162012201519992012
Current release29.0.1, April 202423.1.1, May 20235.7.52.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, JavaScript
Server operating systemshostedLinux
OS X
Unix
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supporteddynamic schemayesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL for queryingyes, wire compatible with PostgreSQLyesno
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBCODBCRESTful HTTP API
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
Alibaba Cloud Table StoreApache DruidCockroachDBValentina ServerWakandaDB
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