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DBMS > Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series data
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperDGraph LabsSachin Sinha, BangDBMicrosoftQuestDB Technology Inc
Initial release2017201220162014
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++C++Java (Zero-GC), C++, Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLnoSQL like support with command line toolyesSQL with time-series extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGoC
C#
C++
Java
Python
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes infothrough memory mapped files
User concepts infoAccess controlnoyes (enterprise version only)yes
More information provided by the system vendor
BadgerBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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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