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DBMS > Dolt vs. Faircom EDGE vs. FatDB vs. Google Cloud Bigtable vs. Oracle Coherence

System Properties Comparison Dolt vs. Faircom EDGE vs. FatDB vs. Google Cloud Bigtable vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Coherence  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA .NET NoSQL DBMS that can integrate with and extend SQL Server.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Oracles in-memory data grid solution
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Key-value store
Wide column store
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.faircom.com/­products/­faircom-edgecloud.google.com/­bigtablewww.oracle.com/­java/­coherence
Technical documentationdocs.dolthub.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDoltHub IncFairCom CorporationFatCloudGoogleOracle
Initial release20181979201220152007
Current releaseV3, October 202014.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++C#Java
Server operating systemsLinux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
WindowshostedAll OS with a Java VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesnoyes
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.noyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyes infoANSI SQL queriesno infoVia inetgration in SQL Servernono
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes info.Net, JavaScript, C/C++yes infovia applicationsnono
Triggersyesyesyes infovia applicationsnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-row operationsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authentication

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More resources
DoltFaircom EDGE infoformerly c-treeEDGEFatDBGoogle Cloud BigtableOracle Coherence
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