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DBMS > Google BigQuery vs. LMDB vs. Microsoft Azure Synapse Analytics vs. ScyllaDB

System Properties Comparison Google BigQuery vs. LMDB vs. Microsoft Azure Synapse Analytics vs. ScyllaDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.89
Rank#24  Overall
#16  Relational DBMS
Score2.28
Rank#118  Overall
#22  Key-value stores
Score21.62
Rank#36  Overall
#22  Relational DBMS
Score3.61
Rank#91  Overall
#16  Key-value stores
#8  Wide column stores
Websitecloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.scylladb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.scylladb.com
DeveloperGoogleSymasMicrosoftScyllaDB
Initial release2010201120162015
Current release0.9.29, March 2021Scylla Open Source 4.6, March 2022
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC++C++
Server operating systemshostedhostedLinux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesnonoyesyes infocluster global secondary indices
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
CC#
Java
PHP
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQLyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoin-memory tables
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noyesAccess rights for users can be defined per object
More information provided by the system vendor
Google BigQueryLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseScyllaDB
Specific characteristicsScylla is a highly-available, highly-scalable, highly-performant NoSQL database....
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Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosAdTech ( AdGear , AppMonet , Dstillery , FullContact , MediaMath , Numberly , SAS...
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Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
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Licensing and pricing modelsScylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
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Google BigQueryLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseScyllaDB
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