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DBMS > Dgraph vs. JanusGraph vs. Microsoft SQL Server vs. Tarantool

System Properties Comparison Dgraph vs. JanusGraph vs. Microsoft SQL Server vs. Tarantool

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsofts flagship relational DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMSGraph DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score1.88
Rank#146  Overall
#24  Document stores
#25  Key-value stores
#68  Relational DBMS
Websitedgraph.iojanusgraph.orgwww.microsoft.com/­en-us/­sql-serverwww.tarantool.io
Technical documentationdgraph.io/­docsdocs.janusgraph.orglearn.microsoft.com/­en-US/­sql/­sql-serverwww.tarantool.io/­en/­doc
DeveloperDgraph Labs, Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoftVK
Initial release2016201719892008
Current release0.6.3, February 2023SQL Server 2022, November 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesFull-featured ANSI SQL support
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Open binary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaLua, C and SQL stored procedures
Triggersnoyesyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesyesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)tables can be distributed across several files (horizontal partitioning); sharding through federationSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesyes, but depending on the SQL-Server EditionAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlno infoPlanned for future releasesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
DgraphJanusGraph infosuccessor of TitanMicrosoft SQL ServerTarantool
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