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DBMS > GeoSpock vs. Hazelcast vs. NuoDB vs. RisingWave vs. Teradata Aster

System Properties Comparison GeoSpock vs. Hazelcast vs. NuoDB vs. RisingWave vs. Teradata Aster

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata Aster  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data gridNuoDB is a webscale distributed database that supports SQL and ACID transactionsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websitegeospock.comhazelcast.comwww.3ds.com/­nuodb-distributed-sql-databasewww.risingwave.com/­database
Technical documentationhazelcast.org/­imdg/­docsdoc.nuodb.comdocs.risingwave.com/­docs/­current/­intro
DeveloperGeoSpockHazelcastDassault Systèmes infooriginally NuoDB, Inc.RisingWave LabsTeradata
Initial release2008201320222005
Current release2.0, September 20195.3.6, November 20231.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++Rust
Server operating systemshostedAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
macOS
Linux
Data schemeyesschema-freeyesyesFlexible 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 dateyesyesyesStandard SQL-types and JSONyes
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 infothe object must implement a serialization strategynonoyes infoin Aster File Store
Secondary indexestemporal, categoricalyesyesyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languageyesyesyes
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesJava, SQLUDFs in Python or JavaR packages
Triggersnoyes infoEventsyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoManaged transparently by NuoDByes 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 methodsnoyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocolnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary tableyesno
User concepts infoAccess controlAccess rights for users can be defined per tableRole-based access controlStandard SQL roles/ privileges, Administrative UsersUsers and Rolesfine grained access rights according to SQL-standard

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More resources
GeoSpockHazelcastNuoDBRisingWaveTeradata Aster
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