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DBMS > Dgraph vs. Hive vs. Tarantool vs. VelocityDB

System Properties Comparison Dgraph vs. Hive vs. Tarantool vs. VelocityDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHive  Xexclude from comparisonTarantool  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Graph 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
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score1.67
Rank#150  Overall
#25  Document stores
#25  Key-value stores
#69  Relational DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitedgraph.iohive.apache.orgwww.tarantool.iovelocitydb.com
Technical documentationdgraph.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.tarantool.io/­en/­docvelocitydb.com/­UserGuide
DeveloperDgraph Labs, Inc.Apache Software Foundation infoinitially developed by FacebookVKVelocityDB Inc
Initial release2016201220082011
Current release3.1.3, April 20222.10.0, May 20227.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC and C++C#
Server operating systemsLinux
OS X
Windows
All OS with a Java VMBSD
Linux
macOS
Any that supports .NET
Data schemeschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsFull-featured ANSI SQL supportno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Open binary protocol.Net
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceLua, C and SQL stored proceduresno
Triggersnonoyes, before/after data modification events, on replication events, client session eventsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factorAsynchronous 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 infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes
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 persistenceyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Based on Windows Authentication

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