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DBMS > CockroachDB vs. dBASE vs. Google Cloud Bigtable vs. Hazelcast vs. Memcached

System Properties Comparison CockroachDB vs. dBASE vs. Google Cloud Bigtable vs. Hazelcast vs. Memcached

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHazelcast  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.dBase 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.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 gridIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitewww.cockroachlabs.comwww.dbase.comcloud.google.com/­bigtablehazelcast.comwww.memcached.org
Technical documentationwww.cockroachlabs.com/­docswww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docshazelcast.org/­imdg/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperCockroach LabsAsthon TateGoogleHazelcastDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20151979201520082003
Current release23.1.1, May 2023dBASE 2019, 20195.3.6, November 20231.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC
Server operating systemsLinux
macOS
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Data schemedynamic schemayesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyes infothe object must implement a serialization strategy
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoSQL-like query languageno
APIs and other access methodsJDBCnone infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noyes infoEvent Listeners, Executor Servicesno
Triggersnononoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoReplicated Mapnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlyes infousing SASL (Simple Authentication and Security Layer) protocol

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CockroachDBdBASEGoogle Cloud BigtableHazelcastMemcached
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