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DBMS > RavenDB vs. RisingWave vs. Stardog vs. SWC-DB vs. Vertica

System Properties Comparison RavenDB vs. RisingWave vs. Stardog vs. SWC-DB vs. Vertica

Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonRisingWave  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument storeRelational DBMSGraph DBMS
RDF store
Wide column storeRelational DBMS infoColumn oriented
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#101  Overall
#18  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websiteravendb.netwww.risingwave.com/­databasewww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.vertica.com
Technical documentationravendb.net/­docsdocs.risingwave.com/­docs/­current/­introdocs.stardog.comvertica.com/­documentation
DeveloperHibernating RhinosRisingWave LabsStardog-UnionAlex KashirinOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20102022201020202005
Current release5.4, July 20221.2, September 20237.3.0, May 20200.5, April 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#RustJavaC++C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Linux
macOS
Windows
LinuxLinux
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoStandard SQL-types and JSONyesyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query language (RQL)yesYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
PostgreSQL wire protocol
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesUDFs in Python or Javauser defined functions and aggregates, HTTP Server extensions in Javanoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyes infovia event handlersnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in HA-ClusterMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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 in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availablenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesnono
User concepts infoAccess controlAuthorization levels configured per client per databaseUsers and RolesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
RavenDBRisingWaveStardogSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
RavenDBRisingWaveStardogSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™
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