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DBMS > Apache Impala vs. Stardog vs. Teradata Aster vs. Tibero

System Properties Comparison Apache Impala vs. Stardog vs. Teradata Aster vs. Tibero

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonStardog  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTibero  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 HadoopEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationPlatform for big data analytics on multistructured data sources and typesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websiteimpala.apache.orgwww.stardog.comus.tmaxsoft.com/­products/­tibero
Technical documentationimpala.apache.org/­impala-docs.htmldocs.stardog.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaStardog-UnionTeradataTmaxSoft
Initial release2013201020052003
Current release4.1.0, June 20227.3.0, May 20206, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and Assembler
Server operating systemsLinuxLinux
macOS
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportFlexible 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 dateyesyesyesyes
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 infoImport/export of XML data possibleyes infoin Aster File Storeyes
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesyes
APIs and other access methodsJDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregates, HTTP Server extensions in JavaR packagesPersistent Stored Procedure (PSM)
Triggersnoyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication in HA-Clusteryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesnono infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache ImpalaStardogTeradata AsterTibero
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