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DBMS > Apache Impala vs. InfluxDB vs. Teradata Aster vs. TigerGraph

System Properties Comparison Apache Impala vs. InfluxDB vs. Teradata Aster vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfluxDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopDBMS for storing time series, events and metricsPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteimpala.apache.orgwww.influxdata.com/­products/­influxdb-overviewwww.tigergraph.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.influxdata.com/­influxdbdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTeradata
Initial release2013201320052017
Current release4.1.0, June 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++
Server operating systemsLinuxLinux
OS X infothrough Homebrew
LinuxLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoR packagesyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage enginenono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Apache ImpalaInfluxDBTeradata AsterTigerGraph
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaInfluxDBTeradata AsterTigerGraph
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Recent citations in the news

Apache Impala becomes Top-Level Project
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22 September 2011, PR Newswire

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