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DBMS > Apache Impala vs. Kyligence Enterprise vs. QuestDB vs. Speedb

System Properties Comparison Apache Impala vs. Kyligence Enterprise vs. QuestDB vs. Speedb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonQuestDB  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed analytics engine for big data, built on top of Apache KylinA high performance open source SQL database for time series dataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
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
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websiteimpala.apache.orgkyligence.io/­kyligence-enterprisequestdb.iowww.speedb.io
Technical documentationimpala.apache.org/­impala-docs.htmlquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaKyligence, Inc.QuestDB Technology IncSpeedb
Initial release2013201620142020
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava (Zero-GC), C++, RustC++
Server operating systemsLinuxLinuxLinux
macOS
Windows
Linux
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)SQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesyes
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 filesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno
More information provided by the system vendor
Apache ImpalaKyligence EnterpriseQuestDBSpeedb
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» 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
Open source - Speedb OSS is released under an Apache license and can be found on...
» more
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More resources
Apache ImpalaKyligence EnterpriseQuestDBSpeedb
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

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Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

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21 March 2024, SiliconANGLE News

Redis Acquires Speedb, Expanding Its Data Platform Capabilities Beyond DRAM
22 March 2024, Datanami

Redis expands data management capabilities with Speedb acquisition – Blocks and Files
22 March 2024, Blocks and Files

Redis Acquires Speedb to Supercharge End-to-End Application Performance at Lower Cost
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