DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Linter vs. OpenSearch vs. SurrealDB

System Properties Comparison Linter vs. OpenSearch vs. SurrealDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonOpenSearch  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionRDBMS for high security requirementsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score16.03
Rank#37  Overall
#4  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitelinter.rugithub.com/­opensearch-project
opensearch.org
surrealdb.com
Technical documentationopensearch.org/­docs/­latestsurrealdb.com/­docs
Developerrelex.ruAmazon Web ServicesSurrealDB Ltd
Initial release199020212022
Current release2.5.0, January 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
Implementation languageC and C++JavaRust
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VMLinux
macOS
Windows
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rules
More information provided by the system vendor
LinterOpenSearchSurrealDB
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LinterOpenSearchSurrealDB
Recent citations in the news

Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3 | Amazon ...
5 June 2024, AWS Blog

Behind the Scenes: Upgrading OpenSearch efficiency with OCI flexible vertical scaling
13 February 2024, blogs.oracle.com

Optimize storage costs in Amazon OpenSearch Service using Zstandard compression | Amazon Web Services
11 June 2024, AWS Blog

OCI Search with OpenSearch 2.11 delivers easy access to latest AI innovations
13 March 2024, blogs.oracle.com

Simplify your query management with search templates in Amazon OpenSearch Service | Amazon Web Services
3 April 2024, AWS Blog

provided by Google News

SD Times Open-Source Project of the Week: SurrealDB
10 May 2024, SDTimes.com

Meet Tobie Morgan Hitchcock, CEO & Co-Founder Of SurrealDB
25 April 2024, TechRound

Cloud, privacy and AI: Trends defining the future of data and databases
27 September 2023, Sifted

SurrealDB raises $6M for its database-as-a-service offering
4 January 2023, TechCrunch

Introducing SurrealDB: A Quantum Leap in Database Technology
11 September 2023, TechRound

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here