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DBMS > GridDB vs. HarperDB vs. Hawkular Metrics vs. Manticore Search

System Properties Comparison GridDB vs. HarperDB vs. Hawkular Metrics vs. Manticore Search

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Multi-storage database for search, including full-text search.
Primary database modelTime Series DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Websitegriddb.netwww.harperdb.iowww.hawkular.orgmanticoresearch.com
Technical documentationdocs.griddb.netdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidemanual.manticoresearch.com
DeveloperToshiba CorporationHarperDBCommunity supported by Red HatManticore Software
Initial release2013201720142017
Current release5.1, August 20223.1, August 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsJavaC++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesdynamic schemaschema-freeFixed schema
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyes infoJSON data typesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nononoCan index from XML
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nouser defined functions
Triggersyesnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelAtomic execution of specific operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and rolesnono

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More resources
GridDBHarperDBHawkular MetricsManticore Search
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