DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Drill vs. eXtremeDB vs. FoundationDB vs. Postgres-XL vs. QuestDB

System Properties Comparison Apache Drill vs. eXtremeDB vs. FoundationDB vs. Postgres-XL vs. QuestDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuestDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNatively in-memory DBMS with options for persistency, high-availability and clusteringOrdered key-value store. Core features are complimented by layers.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance open source SQL database for time series data
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitedrill.apache.orgwww.mcobject.comgithub.com/­apple/­foundationdbwww.postgres-xl.orgquestdb.io
Technical documentationdrill.apache.org/­docswww.mcobject.com/­docs/­extremedb.htmapple.github.io/­foundationdbwww.postgres-xl.org/­documentationquestdb.io/­docs
DeveloperApache Software FoundationMcObjectFoundationDBQuestDB Technology Inc
Initial release2012200120132014 infosince 2012, originally named StormDB2014
Current release1.20.3, January 20238.2, 20216.2.28, November 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++CJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeyesschema-free infosome layers support schemasyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes
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 infosupport of XML interfaces availableyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith the option: eXtremeSQLsupported in specific SQL layer onlyyes infodistributed, parallel query executionSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC++.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsyesin SQL-layer onlyuser defined functionsno
Triggersnoyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardinghorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCCACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnoyes infothrough memory mapped files
User concepts infoAccess controlDepending on the underlying data sourcenofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DrilleXtremeDBFoundationDBPostgres-XLQuestDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To
12 April 2024

Create an ADS-B flight radar with QuestDB and a Raspberry Pi
8 April 2024

Build a temperature IoT sensor with Raspberry Pi Pico & QuestDB
5 April 2024

Create an IoT server with QuestDB and a Raspberry Pi
4 April 2024

TimescaleDB vs. QuestDB: Performance benchmarks and overview
27 March 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 DrilleXtremeDBFoundationDBPostgres-XLQuestDB
Recent citations in the news

Analyse Kafka messages with SQL queries using Apache Drill
23 September 2019, Towards Data Science

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Using Apache Iceberg for Developing Modern Data Tables
3 October 2023, Open Source For You

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

provided by Google News

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

McObject Announces Availability of eXtremeDB/rt for Microsoft Azure RTOS ThreadX
15 November 2021, Automation.com

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

McObject and Lynx Software Technologies Team Up for the First COTS Hard Real-Time DBMS for Mission- and Safety ...
21 October 2021, GlobeNewswire

Beta tests for real time in-memory embedded database ...
4 May 2021, eeNews Europe

provided by Google News

FoundationDB team's new venture, Antithesis, raises $47M to enhance software testing
13 February 2024, SiliconANGLE News

Antithesis raises $47M to launch an automated testing platform for software
13 February 2024, TechCrunch

Deno adds scaleable messaging with new Queues feature, sparks debate about proprietary services • DEVCLASS
28 September 2023, DevClass

IBM Cloudant ends backing of FoundationDB version of CouchDB
15 March 2022, The Register

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

provided by Google News

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

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

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

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

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here