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DBMS > Drizzle vs. Ehcache vs. Google Cloud Bigtable vs. Memgraph

System Properties Comparison Drizzle vs. Ehcache vs. Google Cloud Bigtable vs. Memgraph

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelRelational DBMSKey-value storeWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.68
Rank#52  Overall
#8  Key-value stores
Score2.27
Rank#108  Overall
#7  Wide column stores
Score0.05
Rank#313  Overall
#31  Graph DBMS
Websitewww.ehcache.orgcloud.google.com/­bigtablememgraph.com
Technical documentationwww.ehcache.org/­documentationcloud.google.com/­bigtable/­docsdocs.memgraph.com
DeveloperDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGGoogleMemgraph Ltd
Initial release2008200920152017
Current release7.2.4, September 20123.8.0, July 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedLinux
Data schemeyesschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBCJCachegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
Supported programming languagesC
C++
Java
PHP
JavaC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yes infoby using Terracotta ServerInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceAtomic single-row operationsACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions

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DrizzleEhcacheGoogle Cloud BigtableMemgraph
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