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DBMS > Blueflood vs. Drizzle vs. Kyligence Enterprise vs. QuestDB

System Properties Comparison Blueflood vs. Drizzle vs. Kyligence Enterprise vs. QuestDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonQuestDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed analytics engine for big data, built on top of Apache KylinA high performance open source SQL database for time series data
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteblueflood.iokyligence.io/­kyligence-enterprisequestdb.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiquestdb.io/­docs
DeveloperRackspaceDrizzle project, originally started by Brian AkerKyligence, Inc.QuestDB Technology Inc
Initial release2013200820162014
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
LinuxLinux
macOS
Windows
Data schemepredefined schemeyesyesyes 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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI SQL for queries (using Apache Calcite)SQL with time-series extensions
APIs and other access methodsHTTP RESTJDBCJDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C++
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonono
Triggersnono infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTP
More information provided by the system vendor
BluefloodDrizzleKyligence EnterpriseQuestDB
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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More resources
BluefloodDrizzleKyligence EnterpriseQuestDB
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