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DBMS > Apache Impala vs. Lovefield vs. TempoIQ

System Properties Comparison Apache Impala vs. Lovefield vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLovefield  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 HadoopEmbeddable relational database for web apps written in pure JavaScriptScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteimpala.apache.orggoogle.github.io/­lovefieldtempoiq.com (offline)
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleTempoIQ
Initial release201320142012
Current release4.1.0, June 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScript
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsJDBC
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJavaScriptC#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
TriggersnoUsing read-only observersyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnosimple authentication-based access control

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More resources
Apache ImpalaLovefieldTempoIQ infoformerly TempoDB
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