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DBMS > GridGain vs. OrientDB vs. Tarantool vs. Transwarp Hippo

System Properties Comparison GridGain vs. OrientDB vs. Tarantool vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOrientDB  Xexclude from comparisonTarantool  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)In-memory computing platform with a flexible data schema for efficiently building high-performance applicationsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Document store
Key-value store
Relational DBMS
Vector DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitewww.gridgain.comorientdb.orgwww.tarantool.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.htmlwww.tarantool.io/­en/­doc
DeveloperGridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAPVK
Initial release2007201020082023
Current releaseGridGain 8.5.13.2.29, March 20242.10.0, May 20221.0, May 2023
License infoCommercial or Open SourcecommercialOpen 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

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Implementation languageJava, C++, .NetJavaC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)BSD
Linux
macOS
Linux
macOS
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")Flexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeVector, Numeric and String
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joinsFull-featured ANSI SQL supportno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Open binary protocolRESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java, JavascriptLua, C and SQL stored proceduresno
Triggersyes (cache interceptors and events)Hooksyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, 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 nodesyes (replicated cache)Multi-source replicationAsynchronous 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 methodsyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queriesno
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
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
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.yesyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurableAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Role based access control and fine grained access rights

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More resources
GridGainOrientDBTarantoolTranswarp Hippo
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