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DBMS > Google Cloud Bigtable vs. QuestDB vs. Sadas Engine vs. SpaceTime vs. TDSQL for MySQL

System Properties Comparison Google Cloud Bigtable vs. QuestDB vs. Sadas Engine vs. SpaceTime vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonQuestDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpaceTime  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
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 dataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpaceTime is a spatio-temporal DBMS with a focus on performance.A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitecloud.google.com/­bigtablequestdb.iowww.sadasengine.comwww.mireo.com/­spacetimewww.tencentcloud.com/­products/­dcdb
Technical documentationcloud.google.com/­bigtable/­docsquestdb.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogleQuestDB Technology IncSADAS s.r.l.MireoTencent
Initial release20152014200620202013
Current release8.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava (Zero-GC), C++, RustC++C++
Server operating systemshostedLinux
macOS
Windows
AIX
Linux
Windows
Linuxhosted
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnoSQL with time-series extensionsyesA subset of ANSI SQL is implementedyes
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
ODBC
Proprietary protocol
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)horizontal partitioningFixed-grid hypercubesAutomatic sharding
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 consistencynoneReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes infomanaged by 'Learn by Usage'nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardyesUsers with fine-grained authorization concept
More information provided by the system vendor
Google Cloud BigtableQuestDBSadas EngineSpaceTimeTDSQL for MySQL
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud BigtableQuestDBSadas EngineSpaceTimeTDSQL for MySQL
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