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DBMS > GigaSpaces vs. Manticore Search vs. Teradata vs. TigerGraph

System Properties Comparison GigaSpaces vs. Manticore Search vs. Teradata vs. TigerGraph

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonManticore Search  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMulti-storage database for search, including full-text search.A hybrid cloud data analytics software platform (Teradata Vantage)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Time 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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.gigaspaces.commanticoresearch.comwww.teradata.comwww.tigergraph.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlmanual.manticoresearch.comdocs.teradata.comdocs.tigergraph.com
DeveloperGigaspaces TechnologiesManticore SoftwareTeradata
Initial release2000201719842017
Current release15.5, September 20206.0, 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 languageJava, C++, .NetC++C++
Server operating systemsLinux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
Windows
hosted
Linux
Linux
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.no infoXML can be used for describing objects metadataCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query languageyes infoSQL 2016 + extensionsSQL-like query language (GSQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Synchronous replication based on Galera libraryMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes 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.yesyesno
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardRole-based access control

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More resources
GigaSpacesManticore SearchTeradataTigerGraph
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