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DBMS > Apache Druid vs. Greenplum vs. Redis vs. Virtuoso vs. YDB

System Properties Comparison Apache Druid vs. Greenplum vs. Redis vs. Virtuoso vs. YDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreenplum  Xexclude from comparisonRedis  Xexclude from comparisonVirtuoso  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Document store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score4.26
Rank#78  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
#9  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitedruid.apache.orggreenplum.orgredis.com
redis.io
virtuoso.openlinksw.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greenplum.orgdocs.redis.com/­latest/­index.html
redis.io/­docs
docs.openlinksw.com/­virtuosoydb.tech/­en/­docs
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.OpenLink SoftwareYandex
Initial release20122005200919982019
Current release29.0.1, April 20247.0.0, September 20237.2.4, January 20247.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0; commercial license available
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.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaCC
Server operating systemsLinux
OS X
Unix
LinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Flexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.noyes infosince Version 4.2noyesno
Secondary indexesyesyesyes infowith RediSearch moduleyesyes
SQL infoSupport of SQLSQL for queryingyeswith RediSQL moduleyes infoSQL-92, SQL-200x, SQL-3, SQLXSQL-like query language (YQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
Java
Perl
Python
R
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesLua; Redis Functions coming in Redis 7 (slides and Github)yes infoVirtuoso PLno
Triggersnoyespublish/subscribe channels provide some trigger functionality; RedisGearsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesthrough RedisGearsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of command blocks and scripts and optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
Fine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights defined for Yandex Cloud users
More information provided by the system vendor
Apache DruidGreenplumRedisVirtuosoYDB
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
Apache DruidGreenplumRedisVirtuosoYDB
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