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DBMS > GigaSpaces vs. LevelDB vs. Sphinx vs. Typesense

System Properties Comparison GigaSpaces vs. LevelDB vs. Sphinx vs. Typesense

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonLevelDB  Xexclude from comparisonSphinx  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen source search engine for searching in data from different sources, e.g. relational databasesA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeSearch engineSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.gigaspaces.comgithub.com/­google/­leveldbsphinxsearch.comtypesense.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsphinxsearch.com/­docstypesense.org/­docs
DeveloperGigaspaces TechnologiesGoogleSphinx Technologies Inc.
Initial release2000201120012015
Current release15.5, September 20201.23, February 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSDOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++C++
Server operating systemsLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnonoyes
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 metadatano
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like query language (SphinxQL)no
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesnonono
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access controlnono

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More resources
GigaSpacesLevelDBSphinxTypesense
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