Dropbase
Centralize offline data, import files, process and clean up data. Export to a live database with 1 click. Streamline data workflows. Centralize offline data and make it accessible to your team. Bring offline files to Dropbase. Multiple formats. Any way you like. Process and format data. Add, edit, re-order, and delete processing steps. 1-click exports. Export to database, endpoints, or download code with 1 click. Instant REST API access. Query Dropbase data securely with REST API access keys. Onboard data where you need it. Combine and process datasets to fit the desired format or data model. No code. Process your data pipelines using a spreadsheet interface. Track every step. Flexible. Use a library of pre-built processing functions. Or write your own. 1-click exports. Export to database or generate endpoints with 1 click. Manage databases. Manage and databases and credentials.
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Upsolver
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
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Tictable
Tictable is a minimalist, AI-powered data studio designed to help users work with everything from small datasets to massive data collections through a fast, browser-based environment. It combines the familiarity of spreadsheets with the power of a built-in SQL engine, allowing users to run queries directly in the browser without server round-trips, ensuring near-instant results and smooth performance even with millions of rows. It connects to multiple data sources such as CSV, JSON, Parquet, and local databases, automatically importing, cleaning, and structuring data through its “magic import” system, which detects formatting issues and prepares datasets for immediate use. Tictable integrates an agentic AI assistant that can explore data, generate filters, create formulas, and build reports from natural language prompts, executing queries in real time to transform raw data into actionable insights.
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SAS Studio
SAS Studio provides a web browser-based programming environment, so writing and interacting with SAS code is easier and faster, wherever you are. It helps teams build efficient data pipelines with a data engineering experience designed for seamless collaboration, low-code work, and open source integration. SAS Studio connects to leading cloud data platforms such as AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, as well as relational and nonrelational databases, including Oracle, Snowflake, Teradata, SingleStore, MongoDB, and other sources. It also works with file formats such as Excel, text, Parquet, and ORC. Users can choose no code, low code, or code by creating end-to-end data pipelines with drag-and-drop steps, developing Python and SAS code assets in SAS Studio or another IDE, and embedding them into SAS Studio flows for secure, centralized access to data sources and governed execution. SAS Studio supports ELT and ETL approaches.
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