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DBMS > Badger vs. CrateDB vs. QuestDB

System Properties Comparison Badger vs. CrateDB vs. QuestDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCrateDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Database based on LuceneA high performance open source SQL database for time series data
Primary database modelKey-value storeDocument store
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#377  Overall
#58  Key-value stores
Score1.01
Rank#230  Overall
#35  Document stores
#18  Time Series DBMS
Score2.24
Rank#146  Overall
#12  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgercrate.ioquestdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercrate.io/­-docsquestdb.io/­docs/­introduction
DeveloperDGraph LabsCrateQuestDB Limited
Initial release201720132014
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageGoJavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesno
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesGo.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlnorights management via user accounts
More information provided by the system vendor
BadgerCrateDBQuestDB
Specific characteristicsCrateDB is an open-source distributed SQL database that spreads data and processing...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications. In those scenarios,...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersCrateDB customers include Bitmovin , ALPLA , Gantner Instruments , SPGo! , TGW Logistics...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsCrateDB Cloud The efficiency & range of CrateDB in the Cloud CrateDB Edge brings...
» more
Apache 2.0.
» more
News

Exploring Financial Tick Data with Jupyter Notebook and Pandas
22 May 2023

Time-Series Data Visualization with Apache Superset and QuestDB
19 May 2023

Optimizing the Optimizer: the Time-Series Benchmark Suite
18 May 2023

QuestDB 7.1.2 Release
16 May 2023

Investigating Linux Phantom Disk Reads
2 May 2023

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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
BadgerCrateDBQuestDB
Conferences and events

Mastering Event Monitoring using Prometheus and Grafana with CrateDB Cloud
Virtual Live Demo, 3:00 pm - 3:45 pm CET, 31 May 2023

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