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DBMS > Geode vs. Manticore Search vs. Quasardb vs. Spark SQL

System Properties Comparison Geode vs. Manticore Search vs. Quasardb vs. Spark SQL

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonManticore Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesMulti-storage database for search, including full-text search.Distributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeSearch engineTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegeode.apache.orgmanticoresearch.comquasar.aispark.apache.org/­sql
Technical documentationgeode.apache.org/­docsmanual.manticoresearch.comdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Manticore SoftwarequasardbApache Software Foundation
Initial release2002201720092014
Current release1.1, February 20176.0, February 20233.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPL version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Scala
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infointeger and binaryyes
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.noCan index from XMLnono
Secondary indexesnoyes infofull-text index on all search fieldsyes infowith tagsno
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query languageSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP APIJDBC
ODBC
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication based on Galera librarySource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlAccess rights per client and object definablenoCryptographically strong user authentication and audit trailno

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More resources
GeodeManticore SearchQuasardbSpark SQL
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