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DBMS > atoti vs. Brytlyt vs. GigaSpaces vs. Ingres vs. WakandaDB

System Properties Comparison atoti vs. Brytlyt vs. GigaSpaces vs. Ingres vs. WakandaDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIngres  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsWell established RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelObject oriented DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteatoti.iobrytlyt.iowww.gigaspaces.comwww.actian.com/­databases/­ingreswakanda.github.io
Technical documentationdocs.atoti.iodocs.brytlyt.iodocs.gigaspaces.com/­latest/­landing.htmldocs.actian.com/­ingreswakanda.github.io/­doc
DeveloperActiveViamBrytlytGigaspaces TechnologiesActian CorporationWakanda SAS
Initial release201620001974 infooriginally developed at University Berkely in early 1970s2012
Current release5.0, August 202315.5, September 202011.2, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJava, C++, .NetCC++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.no infoXML can be used for describing objects metadatano infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-99 for query and DML statementsyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
Python
Scala
JavaScript
Server-side scripts infoStored proceduresPythonuser defined functions infoin PL/pgSQLyesyesyes
Triggersyesyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
atotiBrytlytGigaSpacesIngresWakandaDB
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