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DBMS > Apache Impala vs. Rockset vs. Teradata

System Properties Comparison Apache Impala vs. Rockset vs. Teradata

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonRockset  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDBA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteimpala.apache.orgrockset.comwww.teradata.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.rockset.comdocs.teradata.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRocksetTeradata
Initial release201320191984
Current release4.1.0, June 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxhostedhosted
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyes
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.nono infoingestion from XML files supportedyes
Secondary indexesyesall fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries, including JOINsyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
HTTP REST.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard

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More resources
Apache ImpalaRocksetTeradata
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