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DBMS > Dgraph vs. Tarantool vs. ToroDB vs. Trafodion vs. VelocityDB

System Properties Comparison Dgraph vs. Tarantool vs. ToroDB vs. Trafodion vs. VelocityDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonTarantool  Xexclude from comparisonToroDB  Xexclude from comparisonTrafodion  Xexclude from comparisonVelocityDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA MongoDB-compatible JSON document store, built on top of PostgreSQLTransactional SQL-on-Hadoop DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMSDocument store
Key-value store
Relational DBMS
Document storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitedgraph.iowww.tarantool.iogithub.com/­torodb/­servertrafodion.apache.orgvelocitydb.com
Technical documentationdgraph.io/­docswww.tarantool.io/­en/­doctrafodion.apache.org/­documentation.htmlvelocitydb.com/­UserGuide
DeveloperDgraph Labs, Inc.VK8KdataApache Software Foundation, originally developed by HPVelocityDB Inc
Initial release20162008201620142011
Current release2.10.0, May 20222.3.0, February 20197.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoAGPL-V3Open Source infoApache 2.0commercial
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 languageGoC and C++JavaC++, JavaC#
Server operating systemsLinux
OS X
Windows
BSD
Linux
macOS
All OS with a Java 7 VMLinuxAny that supports .NET
Data schemeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-freeyesyes
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes infostring, integer, double, boolean, date, object_idyesyes
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 SQLnoFull-featured ANSI SQL supportyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Open binary protocolADO.NET
JDBC
ODBC
.Net
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net.Net
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresJava Stored Proceduresno
Triggersnoyes, before/after data modification events, on replication events, client session eventsnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyesSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Source-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyesyesyes
Durability infoSupport for making data persistentyesyes, write ahead loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, full featured in-memory storage engine with persistencenoyes
User concepts infoAccess controlno infoPlanned for future releasesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights for users and rolesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DgraphTarantoolToroDBTrafodionVelocityDB
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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