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DBMS > BigObject vs. dBASE vs. Ehcache vs. Google Cloud Bigtable

System Properties Comparison BigObject vs. dBASE vs. Ehcache vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisondBASE  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.A widely adopted Java cache with tiered storage optionsGoogle'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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitebigobject.iowww.dbase.comwww.ehcache.orgcloud.google.com/­bigtable
Technical documentationdocs.bigobject.iowww.dbase.com/­support/­knowledgebasewww.ehcache.org/­documentationcloud.google.com/­bigtable/­docs
DeveloperBigObject, Inc.Asthon TateTerracotta Inc, owned by Software AGGoogle
Initial release2015197920092015
Current releasedBASE 2019, 20193.10.0, March 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
DOS infodBase Classic
Windows infodBase Pro
All OS with a Java VMhosted
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesdBase proprietary IDEJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuano infoThe IDE can access stored procedures in other database systems.nono
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable Consistency (Strong, Eventual, Weak)Immediate 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 datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSyes infosupports JTA and can work as an XA resourceAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
BigObjectdBASEEhcacheGoogle Cloud Bigtable
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