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DBMS > Hypertable vs. NebulaGraph vs. Riak TS vs. Tkrzw

System Properties Comparison Hypertable vs. NebulaGraph vs. Riak TS vs. Tkrzw

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNebulaGraph  Xexclude from comparisonRiak TS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA distributed, linear scalable, high perfomant Graph DBMSRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelWide column storeGraph DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#124  Overall
#10  Graph DBMS
Score0.28
Rank#308  Overall
#27  Time Series DBMS
Score0.05
Rank#380  Overall
#59  Key-value stores
Websitegithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
dbmx.net/­tkrzw
Technical documentationdocs.nebula-graph.iowww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperHypertable Inc.Vesoft Inc.Open Source, formerly Basho TechnologiesMikio Hirabayashi
Initial release2009201920152020
Current release0.9.8.11, March 20163.0.0, September 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0 + Common Clause 1.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ErlangC++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Linux
macOS
Data schemeschema-freeStrong typed schemaschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnono
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.restricted
SQL infoSupport of SQLnoSQL-like query languageyes, limitedno
APIs and other access methodsC++ API
Thrift
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsErlangno
Triggersnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelCausal Clustering using Raft protocolselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classes
User concepts infoAccess controlnoRole-based access controlnono
More information provided by the system vendor
HypertableNebulaGraphRiak TSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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HypertableNebulaGraphRiak TSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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