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DBMS > etcd vs. Google BigQuery vs. Prometheus vs. SAP SQL Anywhere vs. Sphinx

System Properties Comparison etcd vs. Google BigQuery vs. Prometheus vs. SAP SQL Anywhere vs. Sphinx

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonPrometheus  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed reliable key-value storeLarge scale data warehouse service with append-only tablesOpen-source Time Series DBMS and monitoring systemRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­bigqueryprometheus.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­bigquery/­docsprometheus.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docs
DeveloperGoogleSAP infoformerly SybaseSphinx Technologies Inc.
Initial release2010201519922001
Current release3.4, August 201917, July 20153.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence 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++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesNumeric data onlyyesno
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 infoImport of XML data possibleyes
Secondary indexesnononoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoyesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP/JSON APIRESTful HTTP/JSON APIADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnoyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoby FederationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
etcdGoogle BigQueryPrometheusSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
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