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DBMS > etcd vs. Hyprcubd vs. Manticore Search vs. Spark SQL vs. STSdb

System Properties Comparison etcd vs. Hyprcubd vs. Manticore Search vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHyprcubd  Xexclude from comparisonManticore Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeServerless Time Series DBMSMulti-storage database for search, including full-text search.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeTime Series DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
hyprcubd.com (offline)manticoresearch.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
manual.manticoresearch.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.Manticore SoftwareApache Software FoundationSTS Soft SC
Initial release201720142011
Current release3.4, August 20196.0, February 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
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 languageGoGoC++ScalaC#
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freeyesFixed schemayesyes
Typing infopredefined data types such as float or datenoyes infotime, int, uint, float, stringInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes infoprimitive types and user defined types (classes)
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.nonoCan index from XMLno
Secondary indexesnonoyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsgRPC
JSON over HTTP
gRPC (https)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersyes, watching key changesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Synchronous replication based on Galera librarynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesnono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnotoken accessnonono

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More resources
etcdHyprcubdManticore SearchSpark SQLSTSdb
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