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DBMS > Hazelcast vs. Memgraph vs. RocksDB vs. TypeDB

System Properties Comparison Hazelcast vs. Memgraph vs. RocksDB vs. TypeDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMemgraph  Xexclude from comparisonRocksDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionA widely adopted in-memory data gridAn open source graph database built for real-time streaming and compatible with Neo4jEmbeddable persistent key-value store optimized for fast storage (flash and RAM)TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelKey-value storeGraph DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitehazelcast.commemgraph.comrocksdb.orgtypedb.com
Technical documentationhazelcast.org/­imdg/­docsmemgraph.com/­docsgithub.com/­facebook/­rocksdb/­wikitypedb.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperHazelcastMemgraph LtdFacebook, Inc.Vaticle
Initial release2008201720132016
Current release5.3.6, November 20238.11.4, April 20242.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoBSDOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++Java
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Bolt protocol
Cypher query language
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnono
Triggersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioninghorizontal partitioningSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication using RAFTyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACID infowith snapshot isolationyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlUsers, roles and permissionsnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HazelcastMemgraphRocksDBTypeDB infoformerly named Grakn
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
HazelcastMemgraphRocksDBTypeDB infoformerly named Grakn
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