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DBMS > FeatureBase vs. PostGIS vs. TDengine vs. YugabyteDB

System Properties Comparison FeatureBase vs. PostGIS vs. TDengine vs. YugabyteDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonPostGIS  Xexclude from comparisonTDengine  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Spatial extension of PostgreSQLTime Series DBMS and big data platformHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.featurebase.compostgis.netgithub.com/­taosdata/­TDengine
tdengine.com
www.yugabyte.com
Technical documentationdocs.featurebase.compostgis.net/­documentationdocs.tdengine.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperMolecula and Pilosa Open Source ContributorsTDEngine, previously Taos DataYugabyte Inc.
Initial release2017200520192017
Current release2022, May 20223.4.2, February 20243.0, August 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0
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.
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 languageGoCCC and C++
Server operating systemsLinux
macOS
Linux
Windows
Linux
OS X
Data schemeyesyesyesdepending 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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL queriesyesStandard SQL with extensions for time-series applicationsyes, PostgreSQL compatible
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
RESTful HTTP API
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 languagesJava
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infosql, plpgsql, C
Triggersnoyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes infobased on PostgreSQLyesyes
More information provided by the system vendor
FeatureBasePostGISTDengineYugabyteDB
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
Apache 2.0 license for the database
» more
News

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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FeatureBasePostGISTDengineYugabyteDB
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