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DBMS > Apache Impala vs. Neo4j vs. RavenDB vs. SiteWhere

System Properties Comparison Apache Impala vs. Neo4j vs. RavenDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSGraph DBMSDocument storeTime Series DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteimpala.apache.orgneo4j.comravendb.netgithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmlneo4j.com/­docsravendb.net/­docssitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaNeo4j, Inc.Hibernating RhinosSiteWhere
Initial release2013200720102010
Current release4.1.0, June 20225.23, August 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
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 languageC++Java, ScalaC#Java
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoUser defined Procedures and Functionsyes
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
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
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableno
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Authorization levels configured per client per databaseUsers with fine-grained authorization concept
More information provided by the system vendor
Apache ImpalaNeo4jRavenDBSiteWhere
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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More resources
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