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DBMS > Bangdb vs. EsgynDB vs. Geode vs. GigaSpaces

System Properties Comparison Bangdb vs. EsgynDB vs. Geode vs. GigaSpaces

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsSpatial DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websitebangdb.comwww.esgyn.cngeode.apache.orgwww.gigaspaces.com
Technical documentationdocs.bangdb.comgeode.apache.org/­docsdocs.gigaspaces.com/­latest/­landing.html
DeveloperSachin Sinha, BangDBEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Gigaspaces Technologies
Initial release2012201520022000
Current releaseBangDB 2.0, October 20211.1, February 201715.5, September 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++, JavaJavaJava, C++, .Net
Server operating systemsLinuxLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nononono infoXML can be used for describing objects metadata
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like query language (OQL)SQL-99 for query and DML statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyes
Triggersyes, Notifications (with Streaming only)noyes infoCache Event Listenersyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication between multi datacentersMulti-source replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardAccess rights per client and object definableRole-based access control

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BangdbEsgynDBGeodeGigaSpaces
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