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DBMS > Hypertable vs. RavenDB vs. Vertica

System Properties Comparison Hypertable vs. RavenDB vs. Vertica

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonRavenDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelWide column storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS infoexperimentalDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.21
Rank#78  Overall
#13  Document stores
Score21.58
Rank#31  Overall
#18  Relational DBMS
Websiteravendb.netwww.vertica.com
Technical documentationravendb.net/­docswww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperHypertable Inc.Hibernating RhinosVertica / Micro Focus infoprior to that Hewlett Packard
Initial release200920102005
Current release0.9.8.11, March 20164.2, May 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageC++C#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-freeschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or datenonoyes
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 indexesrestricted infoonly exact value or prefix value scansyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query language (RQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsC++ API
Thrift
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMapReduce functions can be defined in Linqyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlnoAccess control on document level using the Authorization Bundlefine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
HypertableRavenDBVertica infoVertica Analytics Platform
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
HypertableRavenDBVertica infoVertica Analytics Platform
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