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DBMS > dBASE vs. EJDB vs. Google Cloud Bigtable vs. Oracle Coherence vs. YDB

System Properties Comparison dBASE vs. EJDB vs. Google Cloud Bigtable vs. Oracle Coherence vs. YDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Coherence  Xexclude from comparisonYDB  Xexclude from comparison
DescriptiondBase 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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Oracles in-memory data grid solutionA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument storeKey-value store
Wide column store
Key-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.24
Rank#43  Overall
#27  Relational DBMS
Score0.30
Rank#302  Overall
#44  Document stores
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score2.32
Rank#126  Overall
#23  Key-value stores
Score0.36
Rank#281  Overall
#43  Document stores
#128  Relational DBMS
Websitewww.dbase.comgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablewww.oracle.com/­java/­coherencegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherenceydb.tech/­en/­docs
DeveloperAsthon TateSoftmotionsGoogleOracleYandex
Initial release19792012201520072019
Current releasedBASE 2019, 201914.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
server-lesshostedAll OS with a Java VMLinux
Data schemeyesschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idnoyesyes
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 indexesyesnononoyes
SQL infoSupport of SQLnonononoSQL-like query language (YQL)
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.in-process shared librarygRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesdBase proprietary IDEActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nononono
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency levelActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoAtomic single-row operationsconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authenticationAccess rights defined for Yandex Cloud users

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More resources
dBASEEJDBGoogle Cloud BigtableOracle CoherenceYDB
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