DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Pinot vs. QuestDB vs. SingleStore

System Properties Comparison Apache Pinot vs. QuestDB vs. SingleStore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonQuestDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA high performance open source SQL database for time series dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#256  Overall
#117  Relational DBMS
Score2.31
Rank#137  Overall
#10  Time Series DBMS
Score5.98
Rank#68  Overall
#37  Relational DBMS
Websitepinot.apache.orgquestdb.iowww.singlestore.com
Technical documentationdocs.pinot.apache.orgquestdb.io/­docsdocs.singlestore.com
DeveloperApache Software Foundation and contributorsQuestDB Technology IncSingleStore Inc.
Initial release201520142013
Current release0.11.0, September 20228.1, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJava (Zero-GC), C++, RustC++, Go
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
Linux info64 bit version required
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsyes infobut no triggers and foreign keys
APIs and other access methodsJDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by timestamps)Sharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencySource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlFine grained access control via users, groups and roles
More information provided by the system vendor
Apache PinotQuestDBSingleStore infoformer name was MemSQL
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
F ree Tier and Enterprise Edition
» more
News

QuestDB Release Week #4
24 November 2023

Building a faster hash table for high performance SQL joins
23 November 2023

Is all data time series data?
21 November 2023

Solving duplicate data with performant deduplication
16 November 2023

QuestDB + Hacktoberfest 2023: 10 Years of Hacking
3 October 2023

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 PinotQuestDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

show all

Recent citations in the news

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

2023 Summer of Learning— Data Consolidation | by Troy Curtsinger | mainframe-careers | Dec, 2023
1 December 2023, Medium

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

Java News Roundup: JDK 21, GraalVM for JDK 21, Apache Pinot 1.0, Eclipse Epicyro 3.0
26 September 2023, InfoQ.com

Real-Time Databases: Who Is Using Them, and Why?
20 June 2023, The New Stack

provided by Google News

5 Awesome Java Projects People Don't Know About Vol 3 — Time Database, Microservices, A Game And…
20 April 2023, Medium

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

QuestDB launches 'database-as-a-service' with $12M investment
3 November 2021, VentureBeat

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

provided by Google News

SingleStore to Launch Hybrid Vector and Full-Text Search Capabilities as a Snowflake Native App on the Snowflake ...
6 December 2023, Yahoo Finance

SingleStore Offers Fast Vector Processing for Real-Time AI
17 October 2023, The New Stack

SingleStore unveils features aimed at enabling real-time AI
17 October 2023, TechTarget

SingleStore Database Unifies Transactions, Analytics for Developers and Tech Experts
7 June 2023, Acceleration Economy

SingleStore Announces Several New Product Innovations to Unlock Future of Real-Time AI
17 October 2023, Business Wire

provided by Google News

Job opportunities

Staff Software Engineer - RQL
Rippling, San Francisco, CA

Staff Software Engineer - RQL
Rippling, Remote

Senior Software Engineer - RQL
Rippling, San Francisco, CA

Staff Software Engineer, Data Infrastructure
Rippling, San Francisco, CA

Sr. Site Reliability Engineer (Remote)
MixMode, Remote

Database Administrator
Priority Technology Holdings, LLC, Remote

Senior Software Engineer, Database Engine
SingleStore, Seattle, WA

Strategic Account Executive, NorthEast
SingleStore, Remote

Full Stack Developer (Java/Javascript)
Thentia, Chicago, IL

Software Engineer, Database Engine (University Graduate)
SingleStore, San Francisco, CA

jobs by Indeed



Share this page

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Redis logo

The world’s most loved real‑time data platform.
Try free

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

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

Present your product here