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DBMS > Hazelcast vs. Heroic vs. Teradata vs. UniData,UniVerse vs. YottaDB

System Properties Comparison Hazelcast vs. Heroic vs. Teradata vs. UniData,UniVerse vs. YottaDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonTeradata  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA hybrid cloud data analytics software platform (Teradata Vantage)MultiValue database and application server with SQL mapping layer and meta database capabilitiesA fast and solid embedded Key-value store
Primary database modelKey-value storeTime Series DBMSRelational DBMSMultivalue DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitehazelcast.comgithub.com/­spotify/­heroicwww.teradata.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatayottadb.com
Technical documentationhazelcast.org/­imdg/­docsspotify.github.io/­heroicdocs.teradata.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatayottadb.com/­resources/­documentation
DeveloperHazelcastSpotifyTeradataRocket SoftwareYottaDB, LLC
Initial release20082014198419852001
Current release5.3.6, November 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC
Server operating systemsAll OS with a Java VMhosted
Linux
AIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalno
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 infothe object must implement a serialization strategynoyesno
Secondary indexesyesyes infovia Elasticsearchyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesno
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2016 + extensionsyesby using the Octo plugin
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Basic infoU2 Basic
C
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes infoEventsnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID infoconfigurableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system basedUsers and groups based on OS-security mechanisms

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More resources
HazelcastHeroicTeradataUniData,UniVerseYottaDB
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