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DBMS > Datomic vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. Sphinx

System Properties Comparison Datomic vs. IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. Neo4j vs. Sphinx

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNeo4j  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDatabase as a Service offering based on Apache CouchDBElastic, 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 offeringsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.datomic.comwww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­synapse-analyticsneo4j.comsphinxsearch.com
Technical documentationdocs.datomic.comcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­azure/­synapse-analyticsneo4j.com/­docssphinxsearch.com/­docs
DeveloperCognitectIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftNeo4j, Inc.Sphinx Technologies Inc.
Initial release20122010201620072001
Current release1.0.7075, December 20235.20, May 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
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 languageJava, ClojureErlangC++Java, ScalaC++
Server operating systemsAll OS with a Java VMhostedhostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonono
Secondary indexesyesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocol
Supported programming languagesClojure
Java
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
PHP
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions (Map-Reduce) in JavaScriptTransact SQLyes infoUser defined Procedures and Functionsno
TriggersBy using transaction functionsyesnoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding, horizontal partitioningyes using Neo4j FabricSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnoAccess rights for users can be defined per databaseyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
DatomicIBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNeo4jSphinx
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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