DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Databend vs. Neo4j vs. PieCloudDB vs. Sadas Engine

System Properties Comparison Databend vs. Neo4j vs. PieCloudDB vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonNeo4j  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn 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 cloud-native analytic database platform with new technologoy for elastic MPPSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
neo4j.comwww.openpie.comwww.sadasengine.com
Technical documentationdocs.databend.comneo4j.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDatabend LabsNeo4j, Inc.OpenPieSADAS s.r.l.
Initial release202120072006
Current release1.0.59, April 20235.20, May 20242.1, January 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageRustJava, ScalaC++
Server operating systemshosted
Linux
macOS
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
hostedAIX
Linux
Windows
Data schemeyesschema-free and schema-optionalyesyes
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.nono
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsCLI 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
CLI Client
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
PL/SQL
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsuser defined functionsno
Triggersnoyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnoneyes using Neo4j Fabricyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
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.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)User Roles and pluggable authentication with full SQL StandardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DatabendNeo4jPieCloudDBSadas Engine
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» 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
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more
News

This Week in Neo4j: Podcast, Testing, Knowledge Graph, GenAI and more
8 June 2024

Neo4j and Snowflake Bring Graph Data Science Into the AI Data Cloud
4 June 2024

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph
4 June 2024

This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more
1 June 2024

openCypher Will Pave the Road to GQL for Cypher Implementers
22 May 2024

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
DatabendNeo4jPieCloudDBSadas Engine
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Recent citations in the news

Data Bending: Creating Unique Digital Visual Effects
23 April 2020, RedShark News

Rust and the OS, the Web, Database and Other Languages
21 November 2022, The New Stack

£1.1 Million in AddisonMckee Tube Bending Technologies Provides Dinex with Outstanding OEM Credentials
24 May 2007, news.thomasnet.com

provided by Google News

Neo4j graph analytics integrated with Snowflake's AI cloud – Blocks and Files
7 June 2024, Blocks and Files

Neo4j integrates dozens of graph analytics functions with data in Snowflake
4 June 2024, SiliconANGLE News

Neo4j & Snowflake Collaborate for AI Insights & Analytics
6 June 2024, Martechcube

Neo4j Announces Collaboration with Microsoft to Advance GenAI and Data Solutions USA - English - India - English
26 March 2024, PR Newswire

Using Neo4j’s graph database for AI in Azure
4 April 2024, InfoWorld

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

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.

Present your product here