DBMS > InfluxDB vs. Spark SQL
System Properties Comparison InfluxDB vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||InfluxDB Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||DBMS for storing time series, events and metrics||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Time Series DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS with GEO package|
|Developer||Apache Software Foundation|
|Current release||2.7.1, April 2023||3.5.0 ( 2.13), September 2023|
|License Commercial or Open Source||Open Source MIT-License; commercial enterprise version available||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
OS X through Homebrew
|Typing predefined data types such as float or date||Numeric data and Strings||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||no|
|SQL Support of SQL||SQL-like query language||SQL-like DML and DDL statements|
|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||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor in enterprise version only||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||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||no|
|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 25,500 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...|
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|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 are the database category with the fastest increase in popularity
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Ground Software Engineer
Senior Software Engineer, InfluxDB Clustered
Ground Software Engineer, Lead
SENIOR PERFORMANCE OPTIMIZATION ENGINEER
Tech Lead, Data Engine
Data Scientist (L5) - Infrastructure Experimentation
Machine Learning Associate, 2024 Graduate U.S.
Senior Backline Engineer - Spark
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