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DBMS > etcd vs. HBase vs. TDengine vs. Weaviate

System Properties Comparison etcd vs. HBase vs. TDengine vs. Weaviate

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHBase  Xexclude from comparisonTDengine  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS and big data platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeWide column storeTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hbase.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmldocs.tdengine.comweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetTDEngine, previously Taos DataWeaviate B.V.
Initial release200820192019
Current release3.4, August 20192.3.4, January 20213.0, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoAGPL V3, also commercial editions availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCGo
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnononoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoStandard SQL with extensions for time-series applicationsGraphQL is used as query language
APIs and other access methodsgRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
JDBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersyes, watching key changesyesyes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)no
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.noyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
etcdHBaseTDengineWeaviate
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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