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DBMS > Hazelcast vs. Manticore Search vs. Teradata vs. Yaacomo

System Properties Comparison Hazelcast vs. Manticore Search vs. Teradata vs. Yaacomo

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonManticore Search  Xexclude from comparisonTeradata  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA widely adopted in-memory data gridMulti-storage database for search, including full-text search.A hybrid cloud data analytics software platform (Teradata Vantage)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitehazelcast.commanticoresearch.comwww.teradata.comyaacomo.com
Technical documentationhazelcast.org/­imdg/­docsmanual.manticoresearch.comdocs.teradata.com
DeveloperHazelcastManticore SoftwareTeradataQ2WEB GmbH
Initial release2008201719842009
Current release5.3.6, November 20236.0, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Windows
hosted
Linux
Android
Linux
Windows
Data schemeschema-freeFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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 strategyCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoSQL 2016 + extensionsyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoEventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSynchronous replication based on Galera libraryMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HazelcastManticore SearchTeradataYaacomo
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