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DBMS > Hazelcast vs. Linter vs. Oracle vs. TigerGraph

System Properties Comparison Hazelcast vs. Linter vs. Oracle vs. TigerGraph

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLinter  Xexclude from comparisonOracle  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA widely adopted in-memory data gridRDBMS for high security requirementsWidely used RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.36
Rank#45  Overall
#5  Key-value stores
Score0.02
Rank#325  Overall
#133  Relational DBMS
Score1346.68
Rank#1  Overall
#1  Relational DBMS
Score1.00
Rank#151  Overall
#11  Graph DBMS
Websitehazelcast.comlinter.ru/­enwww.oracle.com/­databasewww.tigergraph.com
Technical documentationhazelcast.org/­documentationdocs.oracle.com/­en/­databasedocs.tigergraph.com
DeveloperHazelcastrelex.ru/­enOracle
Initial release2008199019802017
Current release3.12.2, August 201919c, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is availablecommercial
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 and C++C and C++C++
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategynoyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infowith proprietary extensionsSQL-like query language (GSQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQLPL/SQL infoalso stored procedures in Java possibleyes
Triggersyes infoEventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan be realized in PL/SQLyes
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 integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
HazelcastLinterOracleTigerGraph
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more
Oracle Database Cloud Services Customers can choose from a wide range of database...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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Recent citations in the news

Open Source Hazelcast Data Grid Optimized on Intel Optane for AI, IoT Workloads
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9 January 2020, iProgrammer

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