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DBMS > Apache Impala vs. Google Cloud Bigtable vs. Splice Machine vs. Weaviate

System Properties Comparison Apache Impala vs. Google Cloud Bigtable vs. Splice Machine vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSplice Machine  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSVector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websiteimpala.apache.orgcloud.google.com/­bigtablesplicemachine.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigtable/­docssplicemachine.com/­how-it-worksweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleSplice MachineWeaviate B.V.
Initial release2013201520142019
Current release4.1.0, June 20223.1, March 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Native Spark Datasource
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoJavano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache ImpalaGoogle Cloud BigtableSplice MachineWeaviate
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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More resources
Apache ImpalaGoogle Cloud BigtableSplice MachineWeaviate
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