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DBMS > DolphinDB vs. Faircom EDGE vs. GigaSpaces vs. Oracle NoSQL vs. Sphinx

System Properties Comparison DolphinDB vs. Faircom EDGE vs. GigaSpaces vs. Oracle NoSQL vs. Sphinx

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Document store
Key-value store
Relational DBMS
Search engine
Secondary database modelsRelational DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.dolphindb.comwww.faircom.com/­products/­faircom-edgewww.gigaspaces.comwww.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsphinxsearch.com/­docs
DeveloperDolphinDB, IncFairCom CorporationGigaspaces TechnologiesOracleSphinx Technologies Inc.
Initial release20181979200020112001
Current releasev2.00.4, January 2022V3, October 202015.5, September 202023.3, December 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree community version availablecommercial infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++Java, C++, .NetJavaC++
Server operating systemsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Solaris
Windows
Linux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesoptionalno
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.noyesno infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-99 for query and DML statementsSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIProprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
Python
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesnono
Triggersnoyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning infoCustomizable business rules for partitioningShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infooff heap cache
User concepts infoAccess controlAdministrators, Users, GroupsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAccess rights for users and rolesno

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More resources
DolphinDBFaircom EDGE infoformerly c-treeEDGEGigaSpacesOracle NoSQLSphinx
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