DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Pinot vs. Dgraph vs. Ehcache vs. MarkLogic

System Properties Comparison Apache Pinot vs. Dgraph vs. Ehcache vs. MarkLogic

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSGraph DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Websitepinot.apache.orgdgraph.iowww.ehcache.orgwww.marklogic.com
Technical documentationdocs.pinot.apache.orgdgraph.io/­docswww.ehcache.org/­documentationdocs.marklogic.com
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.Terracotta Inc, owned by Software AGMarkLogic Corp.
Initial release2015201620092001
Current release1.0.0, September 20233.10.0, March 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infoSQL92
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGo
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScript
Triggersnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlno infoPlanned for future releasesnoRole-based access control at the document and subdocument levels

More information provided by the system vendor

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 PinotDgraphEhcacheMarkLogic
Recent citations in the news

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

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

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

StarTree brings Apache Pinot real-time database to the cloud
22 March 2022, TechTarget

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

provided by Google News

Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
1 September 2020, AWS Blog

Popular Open Source GraphQL Company Dgraph Secures $6M in Seed Round with New Leadership
20 July 2022, PR Newswire

Dgraph Raises $6M in Seed Funding
20 July 2022, FinSMEs

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

Dgraph GraphQL database users detail graph use cases
20 April 2021, TechTarget

provided by Google News

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

Migration From JBoss 5 to JBoss 7: All It Takes Is 11 Easy Steps
3 June 2021, hackernoon.com

DZone Coding Java JBoss 5 to 7 in 11 steps
9 January 2014, DZone

provided by Google News

Database Platform to Simplify Complex Data | Progress Marklogic
7 February 2023, Progress Software

ABN AMRO Moves Progress-Powered Credit Store App to Azure Cloud; Achieves 40% Faster Data Processing, Lower ...
12 March 2024, GlobeNewswire

Seven Quick Steps to Setting Up MarkLogic Server in Kubernetes
1 February 2024, biplatform.nl

Progress's $355m move for MarkLogic sets the tone for 2023
4 January 2023, The Stack

Progress to acquire PE-backed data platform MarkLogic for $355m
4 January 2023, PE Hub

provided by Google News



Share this page

Featured Products

Milvus logo

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

SingleStore logo

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

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.

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.

Present your product here