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DBMS > BigObject vs. GBase vs. Geode vs. Google Cloud Bigtable

System Properties Comparison BigObject vs. GBase vs. Geode vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGBase  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Geode 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.
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Websitebigobject.iowww.gbase.cngeode.apache.orgcloud.google.com/­bigtable
Technical documentationdocs.bigobject.iogeode.apache.org/­docscloud.google.com/­bigtable/­docs
DeveloperBigObject, Inc.General Data Technology Co., Ltd.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release2015200420022015
Current releaseGBase 8a, GBase 8s, GBase 8c1.1, February 2017
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsSQL-like query language (OQL)no
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsno
Triggersnoyesyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesno
User concepts infoAccess controlnoyesAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BigObjectGBaseGeodeGoogle Cloud Bigtable
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