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DBMS > dBASE vs. EJDB vs. Google Cloud Bigtable vs. Hazelcast vs. IBM Db2 Event Store

System Properties Comparison dBASE vs. EJDB vs. Google Cloud Bigtable vs. Hazelcast vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  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.A widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSDocument storeKey-value store
Wide column store
Key-value storeEvent Store
Time Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.dbase.comgithub.com/­Softmotions/­ejdbcloud.google.com/­bigtablehazelcast.comwww.ibm.com/­products/­db2-event-store
Technical documentationwww.dbase.com/­support/­knowledgebasegithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAsthon TateSoftmotionsGoogleHazelcastIBM
Initial release19792012201520082017
Current releasedBASE 2019, 20195.3.6, November 20232.0
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
server-lesshostedAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeschema-freeschema-freeyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLnononoSQL-like query languageyes infothrough the embedded Spark runtime
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
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
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#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nonoyes infoEvent Listeners, Executor Servicesyes
Triggersnononoyes infoEventsno
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 infoReplicated MapActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual 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 operationsone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standard

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More resources
dBASEEJDBGoogle Cloud BigtableHazelcastIBM Db2 Event Store
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