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DBMS > Graph Engine vs. GreptimeDB vs. Hazelcast vs. TypeDB

System Properties Comparison Graph Engine vs. GreptimeDB vs. Hazelcast vs. TypeDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA widely adopted in-memory data gridTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
Key-value store
Time Series 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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.graphengine.iogreptime.comhazelcast.comtypedb.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.greptime.comhazelcast.org/­imdg/­docstypedb.com/­docs
DeveloperMicrosoftGreptime Inc.HazelcastVaticle
Initial release2010202220082016
Current release5.3.6, November 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen 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 language.NET and CRustJavaJava
Server operating systems.NETAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsRESTful HTTP APIgRPC
HTTP API
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
F#
Visual Basic
C++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesPythonyes infoEvent Listeners, Executor Servicesno
Triggersnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSimple rights management via user accountsRole-based access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Graph Engine infoformer name: TrinityGreptimeDBHazelcastTypeDB infoformerly named Grakn
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Graph Engine infoformer name: TrinityGreptimeDBHazelcastTypeDB infoformerly named Grakn
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