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DBMS > Geode vs. Google Cloud Bigtable vs. Hypertable vs. Memgraph

System Properties Comparison Geode vs. Google Cloud Bigtable vs. Hypertable vs. Memgraph

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonMemgraph  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An open source BigTable implementation based on distributed file systems such as HadoopAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelKey-value storeKey-value store
Wide column store
Wide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitegeode.apache.orgcloud.google.com/­bigtablememgraph.com
Technical documentationgeode.apache.org/­docscloud.google.com/­bigtable/­docsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleHypertable Inc.Memgraph Ltd
Initial release2002201520092017
Current release1.1, February 20170.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSL 1.1; commercial license for enterprise edition 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 and C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesnonorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query language (OQL)nonono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
Bolt protocol
Cypher query language
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic single-row operationsnoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers, roles and permissions
More information provided by the system vendor
GeodeGoogle Cloud BigtableHypertableMemgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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GeodeGoogle Cloud BigtableHypertableMemgraph
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