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BigQuery
Google BigQuery enables companies to handle large amounts of data without having to manage infrastructure. Google’s documentation describes it as a « serverless architecture (that) lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management. BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. » Its client libraries allow the use of widely known languages such as Python, Java, JavaScript, and Go. Federated queries are also supported, making it flexible to read data from external sources. 📖 A highly rated canonical book on it is « Google BigQuery: The Definitive Guide », a comprehensive reference. Another enriching read on the subject is the inside story told in the article by the founding product manager of BigQuery celebrating its 10th anniversary. Here are 4,870 public repositories matching this topic...Language: All
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Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
api graphql bigquery postgres haskell sql-server mongodb rest-api graphql-server access-control hasura graphql-api subgraph automatic-api supergraph
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
visualization javascript mysql python bigquery bi spark dashboard athena analytics postgresql snowflake mariadb business-intelligence redash redshift databricks hacktoberfest spark-sql
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
mysql python java bigquery data pipeline etl postgresql s3 snowflake self-hosted data-engineering data-analysis mssql data-integration data-collection redshift elt data-pipeline change-data-capture
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
mysql rust bigquery bi sql ai analytics businessintelligence postgresql snowflake business-intelligence cube agents databricks semantic-layer embedded-analytics headless-bi conversational-analytics agentic-analytics
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
bigquery charts sql dashboard clickhouse mcp postgresql snowflake business-intelligence databricks ai-agents genbi text-to-sql rag semantic-layer text2sql duckdb llm generative-ai context-engineering
MCP Toolbox for Databases is an open source MCP server for databases.
mysql agent redis bigquery elasticsearch database ai mongodb server clickhouse mcp postgresql oracle tidb agents cockroachdb spanner firestore llm genai
Open Source Feature Flags, Experimentation, and Product Analytics
bigquery data-science statistics analytics continuous-delivery clickhouse snowflake feature-flags data-engineering experimentation data-analysis ab-testing redshift abtesting databricks abtest split-testing remote-config feature-flagging warehouse-native
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
go kubernetes github-api bigquery aws data google sql etl azure gcp data-engineering data-analysis data-integration data-collection elt etl-framework cspm airbyte attack-surface-management
Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days
golang bigquery postgres clickhouse snowflake data-integration data-collection redshift data-connectors
Privacy and Security focused Segment-alternative, in Golang and React
bigquery privacy etl snowflake data-warehouse data-engineering data-integration redshift elt cdp warehouse-management data-synchronization data-pipeline customer-data event-streaming customer-data-platform segment-alternative customer-data-pipeline customer-data-lake warehouse-native
tbls is a CI-Friendly tool to document a database, written in Go.
mysql markdown bigquery continuous-integration sqlite excel dynamodb postgresql documentation-tool snowflake plantuml mariadb redshift sqlserver database-schema mermaid hacktoberfest spanner er-diagram database-document
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
visualization bigquery postgres bi dashboard jupyter analytics notebook reporting businessintelligence postgresql data-visualization business-intelligence data-analysis briefer
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
bigquery postgresql snowflake mssql data-integration data-pipeline data-ingestion copy-database ingestion-pipeline duckdb
🍟 a notebook sql client. what you get when have a lot of sequels.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
rust bigquery postgres distributed-systems sql kafka etl clickhouse realtime postgresql s3 snowflake stream-processing eventhubs cloud-native cdc
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
export bigquery aws csv sql etl ethereum transaction gcp google-cloud erc20 erc20-tokens blockchain-analytics erc721
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
bigquery tools solutions examples gke google-cloud-dataflow google-cloud-platform google-cloud-compute google-cloud-ml
Released May 19, 2010
Related topicscloud-computing |
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