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DBMS > Hive vs. Neo4j vs. Sadas Engine vs. SQream DB

System Properties Comparison Hive vs. Neo4j vs. Sadas Engine vs. SQream DB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNeo4j  Xexclude from comparisonSadas Engine  Xexclude from comparisonSQream DB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.45
Rank#15  Overall
#10  Relational DBMS
Score58.03
Rank#20  Overall
#1  Graph DBMS
Score0.04
Rank#329  Overall
#142  Relational DBMS
Score0.59
Rank#226  Overall
#110  Relational DBMS
Websitehive.apache.orgneo4j.comwww.sadasengine.comsqream.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeneo4j.com/­docswww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.sqream.com
DeveloperApache Software Foundation infoinitially developed by FacebookNeo4j, Inc.SADAS s.r.l.SQream Technologies
Initial release2012200720062014
Current release3.1.2, August 20194.4.3, January 20228.02021.2, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version3, commercial licenses availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJava, ScalaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
AIX
Linux
Windows
Linux
Data schemeyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.no
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
Proprietary protocol
.Net
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUser defined Procedures and Functionsnouser defined functions in Python
Triggersnoyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j Fabrichorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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 controlAccess rights for users, groups and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HiveNeo4jSadas EngineSQream DB
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Due to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
What can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» 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
News

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18 January 2022

This Week in Neo4j – Start Your Graph
15 January 2022

Jim Webber with Dr. Edgar Osuna: Using Graphs to Take Down Fraudsters
13 January 2022

This Week in Neo4j – Best of Graph 2021 Part 2
8 January 2022

Use Graphs for Smarter AI with Neo4j and Google Cloud Vertex AI
7 January 2022

Trend-Setting Products in Data and Information Management for 2022
4 January 2022

SQream Snaps Up Panoply to Supercharge its Cloud Offerings
19 December 2021

SQream acquires Israel’s Panoply in $60-70 million deal
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

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
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more
Graphable delivers expert services for Neo4j and other Graph DBMS.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HiveNeo4jSadas EngineSQream DB
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