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DBMS > etcd vs. Firebolt vs. Sadas Engine vs. Spark SQL vs. Weaviate

System Properties Comparison etcd vs. Firebolt vs. Sadas Engine vs. Spark SQL vs. Weaviate

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFirebolt  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed reliable key-value storeHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.firebolt.iowww.sadasengine.comspark.apache.org/­sqlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.firebolt.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlweaviate.io/­developers/­weaviate
DeveloperFirebolt Analytics Inc.SADAS s.r.l.Apache Software FoundationWeaviate B.V.
Initial release2020200620142019
Current release3.4, August 20198.03.5.0 ( 2.13), September 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree trial version availableOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ScalaGo
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedAIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyesyesyes 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 indexesnoyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyesSQL-like DML and DDL statementsGraphQL is used as query language
APIs and other access methodsgRPC
JSON over HTTP
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
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
Go
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonononono
Triggersyes, watching key changesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.depending on storage layernonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyes infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
etcdFireboltSadas EngineSpark SQLWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
etcdFireboltSadas EngineSpark SQLWeaviate
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