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DBMS > Apache Impala vs. Firebolt vs. QuestDB vs. TypeDB

System Properties Comparison Apache Impala vs. Firebolt vs. QuestDB vs. TypeDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFirebolt  Xexclude from comparisonQuestDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance open source SQL database for time series dataTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteimpala.apache.orgwww.firebolt.ioquestdb.iotypedb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.firebolt.ioquestdb.io/­docstypedb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFirebolt Analytics Inc.QuestDB Technology IncVaticle
Initial release2013202020142016
Current release4.1.0, June 20222.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java (Zero-GC), C++, RustJava
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
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 SQLSQL-like DML and DDL statementsyesSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
.Net
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesAll languages supporting JDBC/ODBCGo
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerSource-replica replication with eventual consistencyMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesACID
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.noyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache ImpalaFireboltQuestDBTypeDB infoformerly named Grakn
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
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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
Apache ImpalaFireboltQuestDBTypeDB infoformerly named Grakn
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