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DBMS > Blueflood vs. CrateDB vs. FeatureBase vs. InfluxDB

System Properties Comparison Blueflood vs. CrateDB vs. FeatureBase vs. InfluxDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCrateDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraDistributed Database based on LuceneReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.DBMS for storing time series, events and metrics
Primary database modelTime Series DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Websiteblueflood.iocratedb.comwww.featurebase.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicratedb.com/­docsdocs.featurebase.comdocs.influxdata.com/­influxdb
DeveloperRackspaceCrateMolecula and Pilosa Open Source Contributors
Initial release2013201320172013
Current release2022, May 20222.7.6, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJavaGoGo
Server operating systemsLinux
OS X
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Linux
OS X infothrough Homebrew
Data schemepredefined schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Strings
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 indexesnoyesnono
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL queriesSQL-like query language
APIs and other access methodsHTTP RESTADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
HTTP API
JSON over UDP
Supported programming languages.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
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraConfigurable replication on table/partition-levelyesselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integritynonoyesno
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 strategyyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoDepending on used storage engine
User concepts infoAccess controlnorights management via user accountssimple rights management via user accounts
More information provided by the system vendor
BluefloodCrateDBFeatureBaseInfluxDB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Open source core with closed source clustering available either on-premise or on...
» more
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