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DBMS > AgensGraph vs. Hazelcast vs. Interbase vs. Tarantool

System Properties Comparison AgensGraph vs. Hazelcast vs. Interbase vs. Tarantool

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHazelcast  Xexclude from comparisonInterbase  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA widely adopted in-memory data gridLight-weight proven RDBMS infooriginally from BorlandIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Websitebitnine.net/­agensgraphhazelcast.comwww.embarcadero.com/­products/­interbasewww.tarantool.io
Technical documentationbitnine.net/­documentationhazelcast.org/­imdg/­docsdocs.embarcadero.com/­products/­interbasewww.tarantool.io/­en/­doc
DeveloperBitnine Global Inc.HazelcastEmbarcaderoVK
Initial release2016200819842008
Current release2.1, December 20185.3.6, November 2023InterBase 2020, December 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen 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 languageCJavaCC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
BSD
Linux
macOS
Data schemedepending on used data modelschema-freeyesFlexible 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.noyes infothe object must implement a serialization strategyno infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesFull-featured ANSI SQL support
APIs and other access methodsCypher Query Language
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Open binary protocol
Supported programming languagesC
Java
JavaScript
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesyes infoInterbase procedure and trigger languageLua, C and SQL stored procedures
Triggersnoyes infoEventsyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding, 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 nodesSource-replica replicationyes infoReplicated MapInterbase Change ViewsAsynchronous 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 methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate 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 integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine 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
AgensGraphHazelcastInterbaseTarantool
DB-Engines blog posts

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

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