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DBMS > Google BigQuery vs. OpenSearch vs. RocksDB vs. TigerGraph

System Properties Comparison Google BigQuery vs. OpenSearch vs. RocksDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonOpenSearch  Xexclude from comparisonRocksDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSSearch engineKey-value storeGraph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score16.03
Rank#37  Overall
#4  Search engines
Score3.41
Rank#86  Overall
#11  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitecloud.google.com/­bigquerygithub.com/­opensearch-project
opensearch.org
rocksdb.orgwww.tigergraph.com
Technical documentationcloud.google.com/­bigquery/­docsopensearch.org/­docs/­latestgithub.com/­facebook/­rocksdb/­wikidocs.tigergraph.com
DeveloperGoogleAmazon Web ServicesFacebook, Inc.
Initial release2010202120132017
Current release2.5.0, January 20239.2.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • 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.
Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMLinuxLinux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnoyes
Triggersnoyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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 integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoyesACID
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.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noRole-based access control
More information provided by the system vendor
Google BigQueryOpenSearchRocksDBTigerGraph
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
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.
» more
Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

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

More resources
Google BigQueryOpenSearchRocksDBTigerGraph
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