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DBMS > GigaSpaces vs. HarperDB vs. TerminusDB vs. Typesense

System Properties Comparison GigaSpaces vs. HarperDB vs. TerminusDB vs. Typesense

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 TransactionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA 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
Document storeGraph DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Document store
RDF store
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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.gigaspaces.comwww.harperdb.ioterminusdb.comtypesense.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docsterminusdb.github.io/­terminusdb/­#typesense.org/­docs
DeveloperGigaspaces TechnologiesHarperDBDataChemist Ltd.
Initial release2000201720182015
Current release15.5, September 20203.1, August 202111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availableOpen Source infoGPL V3Open 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++, .NetNode.jsProlog, RustC++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
LinuxLinux
Data schemeschema-freedynamic schemayesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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 metadatanono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like data manipulation statementsSQL-like query language (WOQL)no
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript
Python
.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 proceduresyesCustom Functions infosince release 3.1yesno
Triggersyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedJournaling StreamsMulti-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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoin-memory journalingyes
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 controlAccess rights for users and rolesRole-based access control

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GigaSpacesHarperDBTerminusDB infoformer name was DataChemistTypesense
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