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DBMS > FeatureBase vs. Greenplum vs. IBM Db2 Event Store vs. Teradata

System Properties Comparison FeatureBase vs. Greenplum vs. IBM Db2 Event Store vs. Teradata

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGreenplum  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Distributed Event Store optimized for Internet of Things use casesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.featurebase.comgreenplum.orgwww.ibm.com/­products/­db2-event-storewww.teradata.com
Technical documentationdocs.featurebase.comdocs.greenplum.orgwww.ibm.com/­docs/­en/­db2-event-storedocs.teradata.com
DeveloperMolecula and Pilosa Open Source ContributorsPivotal Software Inc.IBMTeradata
Initial release2017200520171984
Current release2022, May 20227.0.0, September 20232.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemsLinux
macOS
LinuxLinux infoLinux, macOS, Windows for the developer additionhosted
Linux
Data schemeyesyesyesyes
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.noyes infosince Version 4.2noyes
Secondary indexesnoyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL queriesyesyes infothrough the embedded Spark runtimeyes infoSQL 2016 + extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
Python
C
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationActive-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FeatureBaseGreenplumIBM Db2 Event StoreTeradata
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