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DBMS > Apache Druid vs. Firebird vs. GeoSpock vs. QuestDB vs. SwayDB

System Properties Comparison Apache Druid vs. Firebird vs. GeoSpock vs. QuestDB vs. SwayDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebird  Xexclude from comparisonGeoSpock  Xexclude from comparisonQuestDB  Xexclude from comparisonSwayDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFirebird is an open source RDBMS forked from Borland's InterBaseSpatial and temporal data processing engine for extreme data scaleA high performance open source SQL database for time series dataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSTime Series DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitedruid.apache.orgwww.firebirdsql.orggeospock.comquestdb.ioswaydb.simer.au
Technical documentationdruid.apache.org/­docs/­latest/­designwww.firebirdsql.org/­en/­reference-manualsquestdb.io/­docs
DeveloperApache Software Foundation and contributorsFirebird FoundationGeoSpockQuestDB Technology IncSimer Plaha
Initial release20122000 infoAs fork of Borland's InterBase20142018
Current release29.0.1, April 20245.0.0, January 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoInitial Developer's Public LicensecommercialOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java, JavascriptJava (Zero-GC), C++, RustScala
Server operating systemsLinux
OS X
Unix
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyestemporal, categoricalnono
SQL infoSupport of SQLSQL for queryingyesANSI SQL for query only (using Presto)SQL with time-series extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoPSQLnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic shardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID for single-table writesAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped filesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization conceptAccess rights for users can be defined per tableno
More information provided by the system vendor
Apache DruidFirebirdGeoSpockQuestDBSwayDB
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
Apache DruidFirebirdGeoSpockQuestDBSwayDB
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