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DBMS > Amazon Redshift vs. Brytlyt vs. ClickHouse vs. Neo4j vs. ReductStore

System Properties Comparison Amazon Redshift vs. Brytlyt vs. ClickHouse vs. Neo4j vs. ReductStore

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBrytlyt  Xexclude from comparisonClickHouse  Xexclude from comparisonNeo4j  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websiteaws.amazon.com/­redshiftbrytlyt.ioclickhouse.comneo4j.comgithub.com/­reductstore
www.reduct.store
Technical documentationdocs.aws.amazon.com/­redshiftdocs.brytlyt.ioclickhouse.com/­docsneo4j.com/­docswww.reduct.store/­docs
DeveloperAmazon (based on PostgreSQL)BrytlytClickhouse Inc.Neo4j, Inc.ReductStore LLC
Initial release20122016201620072023
Current release5.0, August 2023v24.4.1.2088-stable, May 20245.20, May 20241.9, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCC, C++ and CUDAC++Java, ScalaC++, Rust
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
macOS
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free and schema-optional
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesrestrictedyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesClose to ANSI SQL (SQL/JSON + extensions)no
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin PL/pgSQLyesyes infoUser defined Procedures and Functions
Triggersnoyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Users, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Amazon RedshiftBrytlytClickHouseNeo4jReductStore
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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