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DBMS > Google Search Appliance vs. Memgraph vs. TerarkDB

System Properties Comparison Google Search Appliance vs. Memgraph vs. TerarkDB

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMemgraph  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engineGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score0.07
Rank#312  Overall
#30  Graph DBMS
Score0.06
Rank#315  Overall
#54  Key-value stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlmemgraph.comgithub.com/­Terark/­terarkdb
Technical documentationsupport.google.com/­gsadocs.memgraph.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperGoogleMemgraph LtdTerark
Initial release200220172016
License infoCommercial or Open Sourcecommercialcommercial infoFree license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsLinux
Data schemeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesno
SQL infoSupport of SQLnonono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Bolt protocol
Cypher query language
C++ API
Java API
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMulti-Master replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUser authentication via various security protocolsUsers, roles and permissionsno

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More resources
Google Search ApplianceMemgraphTerarkDB
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