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DBMS > HBase vs. Sadas Engine vs. Vertica

System Properties Comparison HBase vs. Sadas Engine vs. Vertica

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonSadas Engine  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.01
Rank#25  Overall
#2  Wide column stores
Score0.01
Rank#347  Overall
#145  Relational DBMS
Score20.33
Rank#35  Overall
#21  Relational DBMS
Websitehbase.apache.orgwww.sadasengine.comwww.vertica.com
Technical documentationhbase.apache.orgwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSADAS s.r.l.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release200820062005
Current release2.3.4, January 20218.0Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree trial version 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.
Cloudera Operational Database: Cloud-native autonomous Apache HBase for unparalleled scale, performance and reliability. Automate and simplify database management with capabilities like auto-scale, auto-heal, and auto-tune.
Implementation languageJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
Linux
Windows
Linux
Data schemeschema-free, schema definition possibleyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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.nonoyes
Secondary indexesnoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
HBaseSadas EngineVertica infoVertica Analytics Platform
Specific characteristicsApache HBase is the leading NoSQL, distributed database management system, well suited...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNo single point of failure ensures very high availability with multiple customers...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersApple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics#1 largest NoSQL database by revenue
» more
Licensing and pricing modelsApache license P ricing for commercial distribution provided by Cloudera and available...
» more
Cost-based models and subscription-based models are available
» more

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More resources
HBaseSadas EngineVertica infoVertica Analytics Platform
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