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DBMS > atoti vs. Memcached vs. VelocityDB vs. Weaviate

System Properties Comparison atoti vs. Memcached vs. VelocityDB vs. Weaviate

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMemcached  Xexclude from comparisonVelocityDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-memory key-value store, originally intended for cachingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelObject oriented DBMSKey-value storeGraph DBMS
Object oriented DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websiteatoti.iowww.memcached.orgvelocitydb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.atoti.iogithub.com/­memcached/­memcached/­wikivelocitydb.com/­UserGuideweaviate.io/­developers/­weaviate
DeveloperActiveViamDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalVelocityDB IncWeaviate B.V.
Initial release200320112019
Current release1.6.27, May 20247.x1.19, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoBSD licensecommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#Go
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Any that supports .NET
Data schemeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nono
Secondary indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)nonoGraphQL is used as query language
APIs and other access methodsProprietary protocol.NetGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.NetJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonnonono
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolBased on Windows AuthenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
atotiMemcachedVelocityDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
atotiMemcachedVelocityDBWeaviate
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