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DBMS > Faircom EDGE vs. GridGain vs. Memgraph vs. Teradata

System Properties Comparison Faircom EDGE vs. GridGain vs. Memgraph vs. Teradata

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4jA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.gridgain.commemgraph.comwww.teradata.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.gridgain.com/­docs/­index.htmlmemgraph.com/­docsdocs.teradata.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperFairCom CorporationGridGain Systems, Inc.Memgraph LtdTeradata
Initial release1979200720171984
Current releaseV3, October 2020GridGain 8.5.1Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++Java, C++, .NetC and C++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Solaris
Windows
Linuxhosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesyesnoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infoANSI SQL queriesANSI-99 for query and DML statements, subset of DDLnoyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningShardingSharding infodynamic graph partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes (replicated cache)Multi-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Security Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
Faircom EDGE infoformerly c-treeEDGEGridGainMemgraphTeradata
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Faircom EDGE infoformerly c-treeEDGEGridGainMemgraphTeradata
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