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DBMS > FeatureBase vs. Firebase Realtime Database vs. Greenplum vs. Hazelcast vs. Teradata Aster

System Properties Comparison FeatureBase vs. Firebase Realtime Database vs. Greenplum vs. Hazelcast vs. Teradata Aster

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  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.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.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.A widely adopted in-memory data gridPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.featurebase.comfirebase.google.com/­products/­realtime-databasegreenplum.orghazelcast.com
Technical documentationdocs.featurebase.comfirebase.google.com/­docs/­databasedocs.greenplum.orghazelcast.org/­imdg/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014Pivotal Software Inc.HazelcastTeradata
Initial release20172012200520082005
Current release2022, May 20227.0.0, September 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsLinux
macOS
hostedLinuxAll OS with a Java VMLinux
Data schemeyesschema-freeyesschema-freeFlexible 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 dateyesyesyesyesyes
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.nonoyes infosince Version 4.2yes infothe object must implement a serialization strategyyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesnoyesSQL-like query languageyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyes infoEvent Listeners, Executor ServicesR packages
TriggersnoCallbacks are triggered when data changesyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoReplicated Mapyes 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 methodsnoyesyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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More resources
FeatureBaseFirebase Realtime DatabaseGreenplumHazelcastTeradata Aster
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