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DBMS > AgensGraph vs. Faircom EDGE vs. Lovefield vs. SurrealDB vs. Tkrzw

System Properties Comparison AgensGraph vs. Faircom EDGE vs. Lovefield vs. SurrealDB vs. Tkrzw

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonLovefield  Xexclude from comparisonSurrealDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsEmbeddable relational database for web apps written in pure JavaScriptA fully ACID transactional, developer-friendly, multi-model DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMS
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitebitnine.net/­agensgraphwww.faircom.com/­products/­faircom-edgegoogle.github.io/­lovefieldsurrealdb.comdbmx.net/­tkrzw
Technical documentationbitnine.net/­documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsurrealdb.com/­docs
DeveloperBitnine Global Inc.FairCom CorporationGoogleSurrealDB LtdMikio Hirabayashi
Initial release20161979201420222020
Current release2.1, December 2018V3, October 20202.1.12, February 2017v1.5.0, May 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoRestricted, free version availableOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCANSI C, C++JavaScriptRustC++
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Linux
macOS
Data schemedepending on used data modelFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyesno
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 indexesyesyesyes
SQL infoSupport of SQLyesyes infoANSI SQL queriesSQL-like query language infovia JavaScript builder patternSQL-like query languageno
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptDeno
Go
JavaScript (Node.js)
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++nono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noyes, based on authentication and database rulesno

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More resources
AgensGraphFaircom EDGE infoformerly c-treeEDGELovefieldSurrealDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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