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DBMS > GreptimeDB vs. JanusGraph vs. searchxml vs. TypeDB

System Properties Comparison GreptimeDB vs. JanusGraph vs. searchxml vs. TypeDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonsearchxml  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017DBMS for structured and unstructured content wrapped with an application serverTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSGraph DBMSNative XML DBMS
Search engine
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitegreptime.comjanusgraph.orgwww.searchxml.net/­category/­productstypedb.com
Technical documentationdocs.greptime.comdocs.janusgraph.orgwww.searchxml.net/­support/­handoutstypedb.com/­docs
DeveloperGreptime Inc.Linux Foundation; originally developed as Titan by Aureliusinformationpartners gmbhVaticle
Initial release2022201720152016
Current release0.6.3, February 20231.02.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen 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 languageRustJavaC++Java
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Unix
Windows
WindowsLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsgRPC
HTTP API
JDBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
WebDAV
XQuery
XSLT
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Clojure
Java
Python
C++ infomost other programming languages supported via APIsAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresPythonyesyes infoon the application serverno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collectionsMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSimple rights management via user accountsUser authentification and security via Rexster Graph ServerDomain, group and role-based access control at the document level and for application servicesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GreptimeDBJanusGraph infosuccessor of TitansearchxmlTypeDB infoformerly named Grakn
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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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...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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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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GreptimeDBJanusGraph infosuccessor of TitansearchxmlTypeDB infoformerly named Grakn
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