DBMS > eXtremeDB vs. InfluxDB vs. TDengine vs. TypeDB vs. YugabyteDB
System Properties Comparison eXtremeDB vs. InfluxDB vs. TDengine vs. TypeDB vs. YugabyteDB
| Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Name | eXtremeDB Xexclude from comparison | InfluxDB Xexclude from comparison | TDengine Xexclude from comparison | TypeDB  formerly named Grakn Xexclude from comparison | YugabyteDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | Natively in-memory DBMS with options for persistency, high-availability and clustering | DBMS for storing time series, events and metrics | Time Series DBMS and big data platform | TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language | High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Relational DBMS Time Series DBMS | Time Series DBMS | Time Series DBMS | Graph DBMS Relational DBMS Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies. | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Spatial DBMS with GEO package | Relational DBMS | Document store Wide column store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.mcobject.com | www.influxdata.com/products/influxdb-overview | github.com/taosdata/TDengine tdengine.com | typedb.com | www.yugabyte.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | www.mcobject.com/docs/extremedb.htm | docs.influxdata.com/influxdb | docs.tdengine.com | typedb.com/docs | docs.yugabyte.com github.com/yugabyte/yugabyte-db | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | McObject | TDEngine, previously Taos Data | Vaticle | Yugabyte Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2001 | 2013 | 2019 | 2016 | 2017 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 8.2, 2021 | 2.7.6, April 2024 | 3.0, August 2022 | 2.26.3, January 2024 | 2.19, September 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | commercial | Open Source MIT-License; commercial enterprise version available | Open Source AGPL V3, also commercial editions available | Open Source GPL Version 3, commercial licenses available | Open Source Apache 2.0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS offerings (sponsored links) Database 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 language | C and C++ | Go | C | Java | C and C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | AIX HP-UX Linux macOS Solaris Windows | Linux OS X through Homebrew | Linux Windows | Linux OS X Windows | Linux OS X | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | yes | schema-free | yes | yes | depending on used data model | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | Numeric data and Strings | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no support of XML interfaces available | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | no | no | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | yes with the option: eXtremeSQL | SQL-like query language | Standard SQL with extensions for time-series applications | no | yes, PostgreSQL compatible | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | .NET Client API JDBC JNI ODBC Proprietary protocol RESTful HTTP API | HTTP API JSON over UDP | JDBC RESTful HTTP API | gRPC protocol TypeDB Console (shell) TypeDB Studio (Visualisation software- previously TypeDB Workbase) | 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 languages | .Net C C# C++ Java Lua Python Scala | .Net Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Perl PHP Python R Ruby Rust Scala | C C# C++ Go Java JavaScript (Node.js) PHP Python Rust | All JVM based languages Groovy Java JavaScript (Node.js) Python Scala | C C# C++ Go Java JavaScript (Node.js) PHP Python Ruby Rust Scala | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | yes | no | no | no | yes sql, plpgsql, C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes by defining events | no | yes, via alarm monitoring | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | horizontal partitioning / sharding | Sharding in enterprise version only | Sharding | Sharding by using Cassandra | Hash and Range Sharding, row-level geo-partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | Active Replication Fabric™ for IoT Multi-source replication by means of eXtremeDB Cluster optionSource-replica replication by means of eXtremeDB High Availability option | selectable replication factor in enterprise version only | yes | Multi-source replication by using Cassandra | Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | no | no | yes by using Apache Kafka and Apache Zookeeper | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Strong consistency on writes and tunable consistency on reads | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | yes | no | no | no substituted by the relationship feature | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | no | ACID | Distributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes Optimistic (MVCC) and pessimistic (locking) strategies available | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes | yes | yes based on RocksDB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes Depending on used storage engine | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | simple rights management via user accounts | yes | yes at REST API level; other APIs in progress | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| eXtremeDB | InfluxDB | TDengine | TypeDB formerly named Grakn | YugabyteDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small... » more | InfluxData is the creator of InfluxDB , the open source time series database. It... » more | TDengine™ is a next generation data historian purpose-built for Industry 4.0 and... » more | TypeDB is a polymorphic database with a conceptual data model, a strong subtyping... » more | YugabyteDB is an open source distributed SQL database for cloud native transactional... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | eXtremeDB databases can be modeled relationally or as objects and can utilize SQL... » more | Time to Value InfluxDB is available in all the popular languages and frameworks,... » more | High Performance at any Scale: TDengine is purpose-built for handling massive industrial... » more | TypeDB provides a new level of expressivity, extensibility, interoperability, and... » more | PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS.... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,... » more | IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available... » more | TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected... » more | Life sciences : TypeDB makes working with biological data much easier and accelerates... » more | Systems of record and engagement for cloud native applications that require resilience,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,... » more | InfluxData has more than 1,900 paying customers, including customers include MuleSoft,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | With hundreds of customers and over 30 million devices/applications using the product... » more | Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances » more | TDengine 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 models | For server use cases, there is a simple per-server license irrespective of the number... » more | Open source core with closed source clustering available either on-premise or on... » more | TDengine OSS is an open source, cloud native time series database. It includes built-in... » more | Apache f or language drivers, and AGPL and Commercial for the database server. The... » more | Apache 2.0 license for the database » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| News | Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB Deadman Alerts with Grafana and InfluxDB Cloud 3.0 Chasing the Skies: Monitoring Flights with InfluxDB Monitoring Your Cloud Environments and Applications with InfluxDB Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS | Comprehensive Comparison Between TDengine and MongoDB Comprehensive Comparison Between TDengine and TimescaleDB Mastering Memory Leak Detection in TDengine Seamless Data Integration from MQTT and InfluxDB to TDengine Solving Long Query Performance Bottlenecks | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| eXtremeDB | InfluxDB | TDengine | TypeDB formerly named Grakn | YugabyteDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | Why Build a Time Series Data Platform? Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend? | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Recent citations in the news | Latest embedded DBMS supports asymmetric multiprocessing systems McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity McObject LLC Joins STMicroelectronics Partner Program to Expand, Enhance and Accelerate Customer The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less McObject Announces the Release of eXtremeDB/rt 1.2 provided by Google News | Amazon Timestream for InfluxDB is now generally available Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB? Amazon Timestream: Managed InfluxDB for Time Series Data InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency provided by Google News | TDengine named Top Global Industrial Data Management Solution TDengine debuts cloud-based time-series data processing platform for IoT deployments New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB Comparing Different Time-Series Databases MindsDB is now the leading and fastest growing applied ML platform in the world India - English provided by Google News | An Enterprise Data Stack Using TypeDB | by Daniel Crowe Spacecraft Engineering Models: How to Migrate UML to TypeQL Modelling Biomedical Data for a Drug Discovery Knowledge Graph 195 Data Science Libraries You Should Reconsider Using | by Dimitris Effrosynidis How Roche Discovered Novel Potential Gene Targets with TypeDB provided by Google News | Yugabyte Achieves PCI DSS Level 1 Compliance, Validating Secure and Scalable Distributed PostgreSQL for ... YugabyteDB Becomes First Distributed SQL Database Vendor to Complete CIS Benchmark The surprising link between Formula One and enterprise PostgreSQL optimisation Yugabyte Embraces 'No Downtime, No Limits,' as the Theme of the Upcoming Distributed SQL Summit Asia Can Yugabyte Become The Defacto Database For Large-Scale, Cloud Native Applications? provided by Google News | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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