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DBMS > Netezza vs. Teradata Aster vs. XTDB vs. YugabyteDB

System Properties Comparison Netezza vs. Teradata Aster vs. XTDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionData warehouse and analytics appliance part of IBM PureSystemsPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queriesHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.ibm.com/­products/­netezzagithub.com/­xtdb/­xtdb
www.xtdb.com
www.yugabyte.com
Technical documentationwww.xtdb.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperIBMTeradataJuxt Ltd.Yugabyte Inc.
Initial release2000200520192017
Current release1.19, September 20212.19, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageClojureC and C++
Server operating systemsLinux infoincluded in applianceLinuxAll OS with a Java 8 (and higher) VM
Linux
Linux
OS X
Data schemeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation formatyes
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.yes infoin Aster File Storenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyeslimited SQL, making use of Apache Calciteyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Java
Python
R
Clojure
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesR packagesnoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all dataBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMTeradata AsterXTDB infoformerly named CruxYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
Netezza infoAlso called PureData System for Analytics by IBMTeradata AsterXTDB infoformerly named CruxYugabyteDB
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