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DBMS > GreptimeDB vs. HugeGraph vs. Tkrzw vs. YDB

System Properties Comparison GreptimeDB vs. HugeGraph vs. Tkrzw vs. YDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA fast-speed and highly-scalable Graph DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSGraph DBMSKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegreptime.comgithub.com/­hugegraph
hugegraph.apache.org
dbmx.net/­tkrzwgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.greptime.comhugegraph.apache.org/­docsydb.tech/­en/­docs
DeveloperGreptime Inc.BaiduMikio HirabayashiYandex
Initial release2022201820202019
Current release0.90.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Unix
Linux
macOS
Linux
Data schemeschema-free, schema definition possibleyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyesnonoSQL-like query language (YQL)
APIs and other access methodsgRPC
HTTP API
JDBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Groovy
Java
Python
C++
Java
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPythonasynchronous Gremlin script jobsnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesno
User concepts infoAccess controlSimple rights management via user accountsUsers, roles and permissionsnoAccess rights defined for Yandex Cloud users
More information provided by the system vendor
GreptimeDBHugeGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» 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

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GreptimeDBHugeGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYDB
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