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DBMS > Apache Druid vs. CockroachDB vs. Ehcache vs. NebulaGraph

System Properties Comparison Apache Druid vs. CockroachDB vs. Ehcache vs. NebulaGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonEhcache  Xexclude from comparisonNebulaGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A widely adopted Java cache with tiered storage optionsA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score1.92
Rank#122  Overall
#11  Graph DBMS
Websitedruid.apache.orgwww.cockroachlabs.comwww.ehcache.orggithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docswww.ehcache.org/­documentationdocs.nebula-graph.io
DeveloperApache Software Foundation and contributorsCockroach LabsTerracotta Inc, owned by Software AGVesoft Inc.
Initial release2012201520092019
Current release30.0.0, June 202424.1.0, May 20243.10.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
All OS with a Java VMLinux
Data schemeyes infoschema-less columns are supporteddynamic schemaschema-freeStrong typed schema
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.nononono
Secondary indexesyesyesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJCacheBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnonoyes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTyes infoby using Terracotta ServerCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlnoRole-based access control
More information provided by the system vendor
Apache DruidCockroachDBEhcacheNebulaGraph
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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Apache DruidCockroachDBEhcacheNebulaGraph
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