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DBMS > Amazon Redshift vs. Databend vs. Neo4j vs. Teradata

System Properties Comparison Amazon Redshift vs. Databend vs. Neo4j vs. Teradata

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabend  Xexclude from comparisonNeo4j  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­datafuselabs/­databend
www.databend.com
neo4j.comwww.teradata.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databend.comneo4j.com/­docsdocs.teradata.com
DeveloperAmazon (based on PostgreSQL)Databend LabsNeo4j, Inc.Teradata
Initial release2012202120071984
Current release1.0.59, April 20235.20, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageCRustJava, Scala
Server operating systemshostedhosted
Linux
macOS
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hosted
Linux
Data schemeyesyesschema-free and schema-optionalyes
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 indexesrestrictednoyes infopluggable indexing subsystem, by default Apache Luceneyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesnoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
CLI Client
JDBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoUser defined Procedures and Functionsyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes using Neo4j FabricSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
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-standardUsers with fine-grained authorization concept, user rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftDatabendNeo4jTeradata
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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