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DBMS > GeoMesa vs. HEAVY.AI vs. Manticore Search vs. OpenEdge vs. Riak TS

System Properties Comparison GeoMesa vs. HEAVY.AI vs. Manticore Search vs. OpenEdge vs. Riak TS

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonManticore Search  Xexclude from comparisonOpenEdge  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMulti-storage database for search, including full-text search.Application development environment with integrated database management systemRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelSpatial DBMSRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
manticoresearch.comwww.progress.com/­openedge
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aimanual.manticoresearch.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCCRi and othersHEAVY.AI, Inc.Manticore SoftwareProgress Software CorporationOpen Source, formerly Basho Technologies
Initial release20142016201719842015
Current release5.0.0, May 20245.10, January 20226.0, February 2023OpenEdge 12.2, March 20203.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++ and CUDAC++Erlang
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Data schemeyesyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.nonoCan index from XMLyesno
Secondary indexesyesnoyes infofull-text index on all search fieldsyesrestricted
SQL infoSupport of SQLnoyesSQL-like query languageyes infoclose to SQL 92yes, limited
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Progress proprietary ABL (Advanced Business Language)C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonouser defined functionsyesErlang
Triggersnononoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replicationSynchronous replication based on Galera librarySource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnoUsers and groupsno

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More resources
GeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Manticore SearchOpenEdgeRiak TS
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