Search Results for "redshift"
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Showing 25 open source projects for "redshift"
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redshift_connector
Amazon Redshift connector for Python
redshift_connector is the Amazon Redshift connector for Python. Easy integration with pandas and numpy, as well as support for numerous Amazon Redshift-specific features help you get the most out of your data. redshift_connector integrates with various open-source projects to provide an interface to Amazon Redshift. Please open an issue with our project to request new integrations or get support for a redshift_connector issue seen in an existing integration. -
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Redshift JDBC Driver
Redshift JDBC Driver. It supports JDBC 4.2 specification
The Amazon JDBC Driver for Redshift is a Type 4 JDBC driver that provides database connectivity through the standard JDBC application program interfaces (APIs) available in the Java Platform, Enterprise Editions. The Driver provides access to Redshift from any Java application, application server, or Java-enabled applet. It builds redshift-jdbc42-{version}.jar and redshift-jdbc42-{version}.zip files under target directory. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
...The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. Operational helpers handle IAM, sessions, and concurrency while exposing knobs for encryption, versioning, and catalog consistency. The result is a productive workflow that keeps your analytics in Python while leveraging AWS-native storage and query engines at scale. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Jitsu
Jitsu is an open-source Segment alternative
...Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. Just write JavaScript code right in the UI to do anything with incoming data. And yes, the code editor supports code completion, debugging and many more. It feels like a full-featured IDE! -
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Liquibase
Main Liquibase Source
...Liquibase Core works with the following databases: Apache Derby, CockroachDB, Firebird, H2, HSQL, Informix, InterBase, MariaDB, MSSQL, MySQL, Oracle, PostgreSQL, SQLite, Sybase Anywhere, Sybase Enterprise. The databases that require extensions are: Azure Cosmos DB, Cassandra, Cache, DB2i, Hibernate, Impala/Hive, MaxDB, MongoDB, Redshift, SAP HANA, SQLFire, Snowflake, Teradata, Vertica, VoltDB. See Liquibase Database Tutorials. Liquibase can be integrated with Maven, Ant, Gradle, Spring Boot, and other CI/CD tools. -
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Beekeeper Studio
Cross-platform SQL Editor and Database Manager
Beekeeper Studio is an open source, cross-platform SQL editor and database management app that is both powerful and easy to use. It lets you query and manage your relational databases, with support for connecting to SQLite, MySQL, MariaDB, Postgres, SQL Server and Amazon Redshift databases. Unlike most other open source SQL editors and database managers, Beekeeper Studio isn’t cluttered with unnecessary features, but does come with the essentials that you need. This includes SQL auto completion, sensible keyboard shortcuts, and the option to encrypt your connection with SSL. Beekeeper Studio is available for Windows, Linux and Mac. -
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses, and Databases. ... -
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SQL Formatter
A whitespace formatter for different query languages
...It started as a port of a PHP Library, but has since considerably diverged. It supports various SQL dialects: GCP BigQuery, IBM DB2, Apache Hive, MariaDB, MySQL, Couchbase N1QL, Oracle PL/SQL, PostgreSQL, Amazon Redshift, SingleStoreDB, Snowflake, Spark, SQL Server Transact-SQL, Trino/Presto. See language option docs for more details. The CLI tool will be installed under sql-formatter and may be invoked via npx sql-formatter. If you don't use a module bundler, clone the repository, run npm install and grab a file from /dist directory to use inside a script tag. ... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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GrowthBook
Open source feature flagging and AB testing platform
GrowthBook is an open-source platform for feature flagging and AB testing built to give teams the power of a fully-featured experimentation system without building it entirely from scratch. It supports both self-hosted and cloud-hosted deployment models, giving organizations the flexibility to own their infrastructure or consume it as a managed service. The platform is designed for performance and scale: its SDKs are lightweight, supporting local evaluation to minimize latency, and it... -
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DQO Data Quality Operations Center
Data Quality Operations Center
DQO is an DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards. DQO comes with around 100 predefined data quality checks which helps you monitor the quality of your data. Table and column-level checks which allows writing your own SQL queries. Daily and monthly date partition testing. Data segmentation by up to 9 different data streams. Build-in scheduling. Calculation of data quality KPIs which can be displayed on multiple built-in... -
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AWS VPC Terraform module
Terraform module which creates VPC resources on AWS
Terraform module which creates VPC resources on AWS. By default this module will provision new Elastic IPs for the VPC's NAT Gateways. This means that when creating a new VPC, new IPs are allocated, and when that VPC is destroyed those IPs are released. Sometimes it is handy to keep the same IPs even after the VPC is destroyed and re-created. To that end, it is possible to assign existing IPs to the NAT Gateways. This prevents the destruction of the VPC from releasing those IPs, while making... -
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sqlmap
Automatic SQL injection and database takeover tool
sqlmap is a powerful, feature-filled, open source penetration testing tool. It makes detecting and exploiting SQL injection flaws and taking over the database servers an automated process. sqlmap comes with a great range of features that along with its powerful detection engine make it the ultimate penetration tester. It offers full support for MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, and many other database management systems. It also... -
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Records
Records is a simple, but powerful, library for making raw SQL queries
Records is a Python library designed to make direct SQL querying convenient without introducing a full object-relational mapper. It supports relational databases including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, and Amazon Redshift through SQLAlchemy. Query results are exposed as friendly Record objects whose fields can be accessed by attribute, key, or numeric index. Queries support safe parameterization, SQL files, transactions, and bulk operations. Result collections can be converted into dictionaries or exported through Tablib to formats such as CSV, JSON, Excel, HTML, YAML, and Pandas DataFrames. ... -
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re_data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up Slack notifications to always know when a new report is produced or an existing one got updated. -
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dbt-re-data
re_data - fix data issues before your users & CEO would discover them
re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up Slack notifications to always know when a new report is produced or an existing one got updated. -
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Snowplow Analytics
Enterprise-strength marketing and product analytics platform
Snowplow is ideal for data teams who want to manage the collection and warehousing of data across all their platforms and products. -
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SQLTabs
Rich SQL client for Postgresql, MySQL, MS SQL, Amazon Redshift
SQLTabs is a cross-platform SQL client built using Electron and Vue.js that offers a modern and intuitive interface for managing SQL databases. It supports multiple database types and allows users to run queries in tabs, explore schemas, and view results in a clean, responsive UI. SQLTabs is designed for developers and analysts who need a simple yet powerful tool for database interaction. -
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Falcon
Free, open-source SQL client for Windows and Mac
...Optionally, you can use Falcon as a middleman between plot.ly and your database - so that when your database updates, your charts and dashboards update as well. Currently, Falcon supports connections to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, and SQLite. In version 2.0+, the app will now automatically generate an SSL. This may take several minutes! Falcon is open source and works without an internet connection or a Plotly Chart Studio account. The software works well and we hope you find it useful. -
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Amazon Mobile Analytics SDK JavaScript
Amazon Mobile Analytics JavaScript SDK
The Mobile Analytics SDK for JavaScript allows JavaScript-enabled applications to create and submit events for analysis in the AWS Console and through Auto Export to S3 and Redshift. The library uses the browser's local storage API to create a local cache for the data, allowing your web application to batch and record events even when the app is offline. You can record monetization events to enable reports such as Average Revenue Per User (ARPU) and more. Additional app and environment details can be added to the "options" object when initializing the SDK. ... -
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node-orm2
Object Relational Mapping
Supported: 4.0 + If using Nodejs >= 14 & Postgres, you must use pg driver >= 8.1. v7 doesn't work correctly (tests time out). Tests are run on Travis CI If you want you can run tests locally. Create Models, sync, drop, bulk create, get, find, remove, count, aggregated functions. Create Model associations, find, check, create and remove. Define custom validations (several builtin validations, check instance properties before saving - see enforce for details). Model instance caching and... -
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AWS data tools
AWS tools for data integration and more
Here I list some data tools I created for Amazon AWS S3 and Redshift -
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Portable version of RedShift GUI made by HackZor. Settings and all other application files are saved in the "Settings" folder, that will be created soon after the first time the application will run. Remember to put both the executable file and "Settings" in the same folder. To reset the application, simply delete the "Settings" folder. You shouldn't need to run it as administrator.
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Redshift is an application for renaming mp3-files. Users can specify how a lot of files will be renamed using the ID3-tags of the files.
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A hybrid system simulation language similar to SHIFT and Lambda-SHIFT, written in Ruby and C. Combines numerical integration, state machines, and the breezy power of Ruby. To install: get ruby and then "gem install redshift".
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