DBMS > InfluxDB vs. JaguarDB vs. ToroDB
System Properties Comparison InfluxDB vs. JaguarDB vs. ToroDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||InfluxDB Xexclude from comparison||JaguarDB Xexclude from comparison||ToroDB Xexclude from comparison|
|Description||DBMS for storing time series, events and metrics||Performant, highly scalable DBMS for AI and IoT applications||A MongoDB-compatible JSON document store, built on top of PostgreSQL|
|Primary database model||Time Series DBMS||Key-value store||Document store|
|Secondary database models||Spatial DBMS with GEO package|
|Current release||2.5.1, November 2022||2.9.4 September 2018|
|License Commercial or Open Source||Open Source MIT-License; commercial enterprise version available||Open Source GPL V3.0||Open Source AGPL-V3|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||Go||C++ the server part. Clients available in other languages||Java|
|Server operating systems||Linux|
OS X through Homebrew
|Linux||All OS with a Java 7 VM|
|Typing predefined data types such as float or date||Numeric data and Strings||yes||yes string, integer, double, boolean, date, object_id|
|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||no||no|
|SQL Support of SQL||SQL-like query language||A subset of ANSI SQL is implemented but no views, foreign keys, triggers|
|APIs and other access methods||HTTP API|
JSON over UDP
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding in enterprise version only||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor in enterprise version only||Multi-source replication||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes Depending on used storage engine||no|
|User concepts Access control||simple rights management via user accounts||rights management via user accounts||Access rights for users and roles|
|More information provided by the system vendor|
|Specific characteristics||InfluxData is the creator of InfluxDB , the open source time series database. It...|
|Competitive advantages||Time to Value InfluxDB is available in all the popular languages and frameworks,...|
|Typical application scenarios||IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...|
|Key customers||InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...|
|Market metrics||Fastest-growing database to drive 24,900 GitHub stars Over 750,000 daily active instances|
|Licensing and pricing models||Open source core with closed source clustering available either on-premise or on...|
Python Time Module: A How-To Guide
How to Get the Current Date and Time in SQL
What Is eBPF? An Introductory Guide
Using Deduplication for Eventually Consistent Transactions
InfluxDB SQL Queries with Python
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|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?
Time Series DBMS are the database category with the fastest increase in popularity Time Series DBMS as a new trend?
Time Series DBMS as a new trend?
|Recent citations in the news|
Cleaning and Interpreting Time Series Metrics with InfluxDB
InfluxData Achieves ISO 27001 Certification
New TDengine Benchmark Results Show Up to 37.0x Higher Query ...
InfluxData Deploys Next-Generation InfluxDB Time Series Engine ...
Tools for Time-Series Data Science Problems with InfluxDB
provided by Google News
IT Systems Administrator - Mission Systems
IT Systems Administrator
IT Systems Administrator - Mission Systems
Share this page