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DBMS > Greenplum vs. Hypertable vs. Manticore Search vs. RavenDB

System Properties Comparison Greenplum vs. Hypertable vs. Manticore Search vs. RavenDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHypertable  Xexclude from comparisonManticore Search  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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.An open source BigTable implementation based on distributed file systems such as HadoopMulti-storage database for search, including full-text search.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSWide column storeSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar LibraryGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score2.68
Rank#102  Overall
#19  Document stores
Websitegreenplum.orgmanticoresearch.comravendb.net
Technical documentationdocs.greenplum.orgmanual.manticoresearch.comravendb.net/­docs
DeveloperPivotal Software Inc.Hypertable Inc.Manticore SoftwareHibernating Rhinos
Initial release2005200920172010
Current release7.0.0, September 20230.9.8.11, March 20166.0, February 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C#
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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 4.2Can index from XML
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C++
Java
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelSynchronous replication based on Galera libraryMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault 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.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAuthorization levels configured per client per database

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More resources
GreenplumHypertableManticore SearchRavenDB
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