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DBMS > BigObject vs. GreptimeDB vs. Microsoft Azure SQL Database vs. QuestDB

System Properties Comparison BigObject vs. GreptimeDB vs. Microsoft Azure SQL Database vs. QuestDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAn open source Time Series DBMS built for increased scalability, high performance and efficiencyDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high performance open source SQL database for time series data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitebigobject.iogreptime.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasequestdb.io
Technical documentationdocs.bigobject.iodocs.greptime.comdocs.microsoft.com/­en-us/­azure/­azure-sqlquestdb.io/­docs
DeveloperBigObject, Inc.Greptime Inc.MicrosoftQuestDB Technology Inc
Initial release2015202220102014
Current releaseV12
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Java (Zero-GC), C++, Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-free, schema definition possibleyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesSQL with time-series extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresLuaPythonTransact SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availableSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyes infothrough memory mapped files
User concepts infoAccess controlnoSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectGreptimeDBMicrosoft Azure SQL Database infoformerly SQL AzureQuestDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open 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
BigObjectGreptimeDBMicrosoft Azure SQL Database infoformerly SQL AzureQuestDB
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