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DBMS > Apache Impala vs. jBASE vs. SingleStore vs. TempoIQ

System Properties Comparison Apache Impala vs. jBASE vs. SingleStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonjBASE  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA robust multi-value DBMS comprising development tools and middlewareMySQL 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 typeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteimpala.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.singlestore.comtempoiq.com (offline)
Technical documentationimpala.apache.org/­impala-docs.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRocket Software (formerly Zumasys)SingleStore Inc.TempoIQ
Initial release2013199120132012
Current release4.1.0, June 20225.78.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Go
Server operating systemsLinuxAIX
Linux
Windows
Linux info64 bit version required
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsEmbedded SQL for jBASE in BASICyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Basic
Jabbascript
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyesno
Triggersnoyesnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights can be defined down to the item levelFine grained access control via users, groups and rolessimple authentication-based access control

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More resources
Apache ImpalajBASESingleStore infoformer name was MemSQLTempoIQ infoformerly TempoDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

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29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
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Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
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8 July 2024, The Register

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

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16 September 2024, AWS Blog

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