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DBMS > Apache Impala vs. Percona Server for MongoDB vs. SingleStore vs. TimescaleDB vs. Yanza

System Properties Comparison Apache Impala vs. Percona Server for MongoDB vs. SingleStore vs. TimescaleDB vs. Yanza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MySQL 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 typeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteimpala.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.singlestore.comwww.timescale.comyanza.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.percona.com/­percona-distribution-for-mongodbdocs.singlestore.comdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPerconaSingleStore Inc.TimescaleYanza
Initial release20132015201320172015
Current release4.1.0, June 20223.4.10-2.10, November 20178.5, January 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL Version 2commercial infofree developer edition availableOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++C++, GoC
Server operating systemsLinuxLinuxLinux info64 bit version requiredLinux
OS X
Windows
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nononoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keysyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsJDBC
ODBC
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnononoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioningyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesSource-replica replication with hot standby and reads on replicas infonone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate 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)yesyes
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.noyes infovia In-Memory Engineyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesFine grained access control via users, groups and rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache ImpalaPercona Server for MongoDBSingleStore infoformer name was MemSQLTimescaleDBYanza
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Apache ImpalaPercona Server for MongoDBSingleStore infoformer name was MemSQLTimescaleDBYanza
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