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DBMS > Alibaba Cloud TSDB vs. Apache Druid vs. SingleStore vs. Splice Machine vs. Yanza

System Properties Comparison Alibaba Cloud TSDB vs. Apache Druid vs. SingleStore vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonApache Druid  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#300  Overall
#24  Time Series DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbdruid.apache.orgwww.singlestore.comsplicemachine.comyanza.com
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdruid.apache.org/­docs/­latest/­designdocs.singlestore.comsplicemachine.com/­how-it-works
DeveloperAlibabaApache Software Foundation and contributorsSingleStore Inc.Splice MachineYanza
Initial release2012201320142015
Current release30.0.0, June 20248.5, January 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, GoJava
Server operating systemshostedLinux
OS X
Unix
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Windows
Data schemeschema-freeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL for queryingyes infobut no triggers and foreign keysyesno
APIs and other access methodsHTTP RESTJDBC
RESTful HTTP/JSON API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoyesyes infoJavano
Triggersnononoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess managed on TSDB instance levelRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
Alibaba Cloud TSDBApache DruidSingleStore infoformer name was MemSQLSplice MachineYanza
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