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DBMS > Greenplum vs. HBase vs. NSDb vs. Sadas Engine vs. Sqrrl

System Properties Comparison Greenplum vs. HBase vs. NSDb vs. Sadas Engine vs. Sqrrl

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Wide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegreenplum.orghbase.apache.orgnsdb.iowww.sadasengine.comsqrrl.com
Technical documentationdocs.greenplum.orghbase.apache.org/­book.htmlnsdb.io/­Architecturewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperPivotal Software Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetSADAS s.r.l.Amazon infooriginally Sqrrl Data, Inc.
Initial release20052008201720062012
Current release7.0.0, September 20232.3.4, January 20218.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoApache Version 2.0commercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC++Java
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
AIX
Linux
Windows
Linux
Data schemeyesschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes: int, bigint, decimal, stringyesyes
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 infosince Version 4.2nonono
Secondary indexesyesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javanonono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
GreenplumHBaseNSDbSadas EngineSqrrl
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