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DBMS > HBase vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. SwayDB vs. TimescaleDB

System Properties Comparison HBase vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. SwayDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNeo4j  Xexclude from comparisonSwayDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSGraph DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitehbase.apache.orgazure.microsoft.com/­services/­synapse-analyticsneo4j.comswaydb.simer.auwww.timescale.com
Technical documentationhbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analyticsneo4j.com/­docsdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftNeo4j, Inc.Simer PlahaTimescale
Initial release20082016200720182017
Current release2.3.4, January 20215.20, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoGNU Affero GPL V3.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageJavaC++Java, ScalaScalaC
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-free and schema-optionalschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.nononoyes
Secondary indexesnoyesyes infopluggable indexing subsystem, by default Apache Lucenenoyes
SQL infoSupport of SQLnoyesnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQLyes infoUser defined Procedures and Functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes using Neo4j Fabricnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nofine grained access rights according to SQL-standard
More information provided by the system vendor
HBaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4jSwayDBTimescaleDB
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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