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DBMS > Geode vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. WakandaDB

System Properties Comparison Geode vs. Microsoft Azure Synapse Analytics vs. Sphinx vs. WakandaDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSSearch engineObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegeode.apache.orgazure.microsoft.com/­services/­synapse-analyticssphinxsearch.comwakanda.github.io
Technical documentationgeode.apache.org/­docsdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docswakanda.github.io/­doc
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftSphinx Technologies Inc.Wakanda SAS
Initial release2002201620012012
Current release1.1, February 20173.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++, JavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (OQL)yesSQL-like query language (SphinxQL)no
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolRESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresuser defined functionsTransact SQLnoyes
Triggersyes infoCache Event Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights per client and object definableyesnoyes

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More resources
GeodeMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinxWakandaDB
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