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DBMS > Solr vs. Sqrrl vs. SurrealDB vs. TimescaleDB

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

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonSurrealDB  Xexclude from comparisonTimescaleDB  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 widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA fully ACID transactional, developer-friendly, multi-model DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Graph DBMS
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.91
Rank#24  Overall
#3  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitesolr.apache.orgsqrrl.comsurrealdb.comwww.timescale.com
Technical documentationsolr.apache.org/­resources.htmlsurrealdb.com/­docsdocs.timescale.com
DeveloperApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.SurrealDB LtdTimescale
Initial release2006201220222017
Current release9.6.0, April 2024v1.5.0, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache 2.0
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 languageJavaJavaRustC
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesyes
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSolr Parallel SQL InterfacenoSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava pluginsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoopyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infomaking use of HadoopSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingAtomic updates per row, document, or graph entityACIDACID
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.yesno
User concepts infoAccess controlyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes, based on authentication and database rulesfine grained access rights according to SQL-standard

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SolrSqrrlSurrealDBTimescaleDB
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