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DBMS > etcd vs. Solr vs. Sqrrl vs. SurrealDB

System Properties Comparison etcd vs. Solr vs. Sqrrl vs. SurrealDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonSurrealDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelKey-value storeSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
solr.apache.orgsqrrl.comsurrealdb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
solr.apache.org/­resources.htmlsurrealdb.com/­docs
DeveloperApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.SurrealDB Ltd
Initial release200620122022
Current release3.4, August 20199.6.0, April 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialOpen Source
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 languageGoJavaJavaRust
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
macOS
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infosupports customizable data types and automatic typingyesyes
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.noyes
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfacenoSQL-like query language
APIs and other access methodsgRPC
JSON over HTTP
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoJava pluginsno
Triggersyes, watching key changesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingAtomic updates per row, document, or graph entityACID
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
User concepts infoAccess controlnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes, based on authentication and database rules

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etcdSolrSqrrlSurrealDB
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