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DBMS > Apache Phoenix vs. Firebolt vs. QuestDB vs. YugabyteDB

System Properties Comparison Apache Phoenix vs. Firebolt vs. QuestDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFirebolt  Xexclude from comparisonQuestDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance open source SQL database for time series dataHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitephoenix.apache.orgwww.firebolt.ioquestdb.iowww.yugabyte.com
Technical documentationphoenix.apache.orgdocs.firebolt.ioquestdb.io/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperApache Software FoundationFirebolt Analytics Inc.QuestDB Technology IncYugabyte Inc.
Initial release2014202020142017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJava (Zero-GC), C++, RustC and C++
Server operating systemsLinux
Unix
Windows
hostedLinux
macOS
Windows
Linux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infoschema-free via InfluxDB Line Protocoldepending on used data model
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 indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL with time-series extensionsyes, PostgreSQL compatible
APIs and other access methodsJDBC.Net
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosql, plpgsql, C
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Hash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerSource-replica replication with eventual consistencyBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes
More information provided by the system vendor
Apache PhoenixFireboltQuestDBYugabyteDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
Apache 2.0 license for the database
» more
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More resources
Apache PhoenixFireboltQuestDBYugabyteDB
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