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DBMS > FeatureBase vs. QuestDB vs. RocksDB vs. TDengine vs. Yaacomo

System Properties Comparison FeatureBase vs. QuestDB vs. RocksDB vs. TDengine vs. Yaacomo

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonQuestDB  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A high performance open source SQL database for time series dataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platformOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.featurebase.comquestdb.iorocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
yaacomo.com
Technical documentationdocs.featurebase.comquestdb.io/­docsgithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperMolecula and Pilosa Open Source ContributorsQuestDB Technology IncFacebook, Inc.TDEngine, previously Taos DataQ2WEB GmbH
Initial release20172014201320192009
Current release2022, May 20229.2.1, May 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava (Zero-GC), C++, RustC++C
Server operating systemsLinux
macOS
Linux
macOS
Windows
LinuxLinux
Windows
Android
Linux
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono
Secondary indexesnonononoyes
SQL infoSupport of SQLSQL queriesSQL with time-series extensionsnoStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
C++ API
Java API
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJava
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)horizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID for single-table writesyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standard
More information provided by the system vendor
FeatureBaseQuestDBRocksDBTDengineYaacomo
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» 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
FeatureBaseQuestDBRocksDBTDengineYaacomo
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