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DBMS > AgensGraph vs. Bangdb vs. Geode vs. GeoMesa

System Properties Comparison AgensGraph vs. Bangdb vs. Geode vs. GeoMesa

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonGeode  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Key-value storeSpatial DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitebitnine.net/­agensgraphbangdb.comgeode.apache.orgwww.geomesa.org
Technical documentationbitnine.net/­documentationdocs.bangdb.comgeode.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperBitnine Global Inc.Sachin Sinha, BangDBOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CCRi and others
Initial release2016201220022014
Current release2.1, December 2018BangDB 2.0, October 20211.1, February 20175.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++JavaScala
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also required
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLyesSQL like support with command line toolSQL-like query language (OQL)no
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresyesnouser defined functionsno
Triggersnoyes, Notifications (with Streaming only)yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual Consistencydepending on storage layer
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyesdepending on storage layer
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)Access rights per client and object definableyes infodepending on the DBMS used for storage

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More resources
AgensGraphBangdbGeodeGeoMesa
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