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DBMS > Dgraph vs. Faircom DB vs. HyperSQL vs. JanusGraph vs. Pinecone

System Properties Comparison Dgraph vs. Faircom DB vs. HyperSQL vs. JanusGraph vs. Pinecone

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A managed, cloud-native vector database
Primary database modelGraph DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Websitedgraph.iowww.faircom.com/­products/­faircom-dbhsqldb.orgjanusgraph.orgwww.pinecone.io
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.janusgraph.orgdocs.pinecone.io/­docs/­overview
DeveloperDgraph Labs, Inc.FairCom CorporationLinux Foundation; originally developed as Titan by AureliusPinecone Systems, Inc
Initial release20161979200120172019
Current releaseV12, November 20202.7.2, June 20230.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoRestricted, free version availableOpen Source infobased on BSD licenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoANSI C, C++JavaJava
Server operating systemsLinux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Unix
Windows
hosted
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesyesString, Number, Boolean
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsyesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC
Java
Clojure
Java
Python
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java, SQLyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
DgraphFaircom DB infoformerly c-treeACEHyperSQL infoalso known as HSQLDBJanusGraph infosuccessor of TitanPinecone
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