DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Spark (SQL) vs. InfluxDB vs. VoltDB

System Properties Comparison Apache Spark (SQL) vs. InfluxDB vs. VoltDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonInfluxDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingDBMS for storing time series, events and metricsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score21.23
Rank#28  Overall
#1  Time Series DBMS
Score1.32
Rank#156  Overall
#71  Relational DBMS
Websitespark.apache.org/­sqlwww.influxdata.com/­products/­influxdb-overviewwww.voltdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.influxdata.com/­influxdbdocs.voltdb.com
DeveloperApache Software FoundationVoltDB Inc.
Initial release201420132010
Current release3.5.0 ( 2.13), September 20232.7.6, April 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaGoJava, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X infothrough Homebrew
Linux
OS X infofor development
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
HTTP API
JSON over UDP
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava
Python
R
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoJava
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoDepending on used storage engine
User concepts infoAccess controlnosimple rights management via user accountsUsers and roles with access to stored procedures
More information provided by the system vendor
Apache Spark (SQL)InfluxDBVoltDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Is an Air Fryer More Energy Efficient Than an Oven
27 November 2024

Apache DataFusion is Now the Fastest Single Node Engine for Querying Apache Parquet Files
25 November 2024

Data Pipelining with InfluxDB
21 November 2024

Getting Started with MQTT, Telegraf, and InfluxDB Cloud v3
19 November 2024

Optimizing Queries in InfluxDB 3.0 Using Progressive Evaluation
14 November 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache Spark (SQL)InfluxDBVoltDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)
22 November 2024, AWS Blog

Top 80+ Apache Spark Interview Questions and Answers for 2025
12 November 2024, Simplilearn

Introducing generative AI troubleshooting for Apache Spark in AWS Glue (preview)
22 November 2024, AWS Blog

Sparkle: Standardizing Modular ETL at Uber
15 August 2024, Uber

Adopting Spark Connect. How we use a shared Spark server to… | by Sergey Kotlov | Nov, 2024
6 November 2024, Towards Data Science

provided by Google News

Use the AWS InfluxDB migration script to migrate your InfluxDB OSS 2.x data to Amazon Timestream for InfluxDB
25 July 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

InfluxData Brings Higher Performance and New Features to InfluxDB 3.0 to Power Massive Time Series Workloads at Scale
4 September 2024, Silicon Canals

provided by Google News

VoltDB Makes Key New Hires to Accelerate Telco Business Growth
28 October 2021, The Fast Mode

 VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

Unveiling Volt Active Data’s game-changing approach to limitless app performance
16 October 2023, YourStory

VoltDB Partners with Google Cloud for 5G Edge Applications
24 June 2021, PR Newswire

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here