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DBMS > Apache Impala vs. openGemini vs. QuestDB vs. RocksDB

System Properties Comparison Apache Impala vs. openGemini vs. QuestDB vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonopenGemini  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteimpala.apache.orgwww.opengemini.org
github.com/­openGemini
questdb.iorocksdb.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.opengemini.org/­guidequestdb.io/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHuawei and openGemini communityQuestDB Technology IncFacebook, Inc.
Initial release2013202220142013
Current release4.1.0, June 20221.1, July 20239.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJava (Zero-GC), C++, RustC++
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesno
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 statementsSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
HTTP RESTHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C 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-reducenonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID 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.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAdministrators and common users accountsno
More information provided by the system vendor
Apache ImpalaopenGeminiQuestDBRocksDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache ImpalaopenGeminiQuestDBRocksDB
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