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DBMS > GigaSpaces vs. Manticore Search vs. Newts vs. Quasardb

System Properties Comparison GigaSpaces vs. Manticore Search vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonManticore Search  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  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.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Search engineTime Series DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS infousing the Manticore Columnar Library
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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.gigaspaces.commanticoresearch.comopennms.github.io/­newtsquasar.ai
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlmanual.manticoresearch.comgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperGigaspaces TechnologiesManticore SoftwareOpenNMS Groupquasardb
Initial release2000201720142009
Current release15.5, September 20206.0, February 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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++JavaC++
Server operating systemsLinux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infointeger and binary
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 XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsnoyes infowith tags
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query languagenoSQL-like query language
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
HTTP REST
Java API
HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on CassandraSharding infoconsistent hashing
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 libraryselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlRole-based access controlnonoCryptographically strong user authentication and audit trail

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More resources
GigaSpacesManticore SearchNewtsQuasardb
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