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DBMS > Amazon Redshift vs. Galaxybase vs. Ignite vs. Teradata Aster

System Properties Comparison Amazon Redshift vs. Galaxybase vs. Ignite vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGalaxybase  Xexclude from comparisonIgnite  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable, ACID-compliant native distributed parallel graph platformApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­redshiftgalaxybase.comignite.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftapacheignite.readme.io/­docs
DeveloperAmazon (based on PostgreSQL)Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Apache Software FoundationTeradata
Initial release2012201720152005
Current releaseNov 20, November 2021Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and JavaC++, Java, .Net
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesStrong typed schemayesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonoyesyes infoin Aster File Store
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined procedures and functionsyes (compute grid and cache interceptors can be used instead)R packages
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yes 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 methodsnonoyes (compute grid and hadoop accelerator)yes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Amazon RedshiftGalaxybaseIgniteTeradata Aster
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