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DBMS > RavenDB vs. Vertica vs. VoltDB

System Properties Comparison RavenDB vs. Vertica vs. VoltDB

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.51
Rank#77  Overall
#14  Document stores
Score22.17
Rank#30  Overall
#18  Relational DBMS
Score1.55
Rank#126  Overall
#62  Relational DBMS
Websiteravendb.netwww.vertica.comwww.voltdb.com
Technical documentationravendb.net/­docswww.vertica.com/­documentation/­verticadocs.voltdb.com
DeveloperHibernating RhinosVertica / Micro Focus infoprior to that Hewlett PackardVoltDB Inc.
Initial release201020052010
Current release4.2, May 2019Vertica Analytics Platform 9.2.x, March 20199.0, April 2019
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availablecommercial infoLimited community edition freeOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azureno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a multi-node managed cluster in minutes. 10% discount for all users throughout 2019.
Implementation languageC#Java, C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X infofor development
Data schemeschema-freeyes infoUnstructured data can be stored in specific Flex-Tablesyes
Typing infopredefined data types such as float or datenoyesyes
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.yes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLSQL-like query language (RQL)yes infonearly full SQL99 without support for indexes and triggersyes infoonly a subset of SQL 99
APIs and other access methods.NET Client API
Java Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Perl
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyesJava
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-master replicationMaster-master replication infoCluster level and Object level replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMapReduce functions can be defined in Linqyes infowith Vertica Connector for Hadoopno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
User concepts infoAccess controlAccess control on document level using the Authorization Bundlefine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers and roles with access to stored procedures
More information provided by the system vendor
RavenDBVertica infoVertica Analytics PlatformVoltDB
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
Cost-based models and subscription-based models are available
» more

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More resources
RavenDBVertica infoVertica Analytics PlatformVoltDB
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