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DBMS > Google Cloud Bigtable vs. QuestDB vs. Trino vs. Yaacomo

System Properties Comparison Google Cloud Bigtable vs. QuestDB vs. Trino vs. Yaacomo

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonQuestDB  Xexclude from comparisonTrino  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A high performance open source SQL database for time series dataFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitecloud.google.com/­bigtablequestdb.iotrino.ioyaacomo.com
Technical documentationcloud.google.com/­bigtable/­docsquestdb.io/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperGoogleQuestDB Technology IncTrino Software FoundationQ2WEB GmbH
Initial release201520142012 info2020 rebranded from PrestoSQL2009
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJava (Zero-GC), C++, RustJava
Server operating systemshostedLinux
macOS
Windows
Linux
macOS infofor devlopment
Android
Linux
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnonodepending on connected data-sourceyes
SQL infoSupport of SQLnoSQL with time-series extensionsyesyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
RESTful HTTP API
Trino CLI
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, depending on connected data-source
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)depending on connected data-sourcehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication with eventual consistencydepending on connected data-sourceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencydepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID for single-table writesdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)SQL standard access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableQuestDBTrinoYaacomo
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
Google Cloud BigtableQuestDBTrinoYaacomo
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