Search Results for "databases" - Page 2
Sort By:
Showing 33 open source projects for "databases"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
sentinel
Sentinel is a filesystem-backed document DBMS written in Rust.
Sentinel is a filesystem-backed document DBMS built in Rust that prioritizes compliance, transparency, and auditability over raw performance. Unlike traditional databases, every document is a plain JSON file, making your data immediately forensic-friendly and Git-versionable. Perfect for regulated industries requiring GDPR, SOC 2, HIPAA, or PCI-DSS compliance. Sentinel provides async operations with automatic BLAKE3 hashing and optional Ed25519 signatures for cryptographic integrity. Data encryption supports AES-256-GCM, XChaCha20-Poly1305, and Ascon-128. ... -
2
falkordb
A super fast Graph Database
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG). -
3
Synth
The Declarative Data Generator
...Synth can import data straight from existing sources and automatically create accurate and versatile data models. Synth supports semi-structured data and is database agnostic, playing nicely with SQL and NoSQL databases. Synth supports generation for thousands of semantic types such as credit card numbers, email addresses, and more. -
4
Replibyte
Seed your development database with real data
...Auto-detect and version database schema change. Auto-detect sensitive fields. Auto-clean backed up data. At Qovery (the company behind Replibyte), developers can clone their applications and databases just with one click. However, the cloning process can be tedious and time-consuming, and we end up copying the information multiple times. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
5
seladb/pickledb-rs
PickleDB-rs is a lightweight and simple key-value store
...Inspired by the Python PickleDB, it provides a simple, NoSQL database for small applications that require persistent key-value storage without the overhead of full-fledged databases. It is designed for speed and ease of use, with a JSON-based storage format. -
6
gobang
A cross-platform TUI database management tool written in Rust
A cross-platform TUI database management tool written in Rust. Cross-platform support (macOS, Windows, Linux). Multiple Database support (MySQL, PostgreSQL, SQLite). Intuitive keyboard-only control. gobang means a Japanese game played on goban, a go board. The appearance of goban looks like table structure. If you’re using Homebrew or Linuxbrew, install the gobang formula. If you want to add connections, you need to edit your config file. -
7
sled
The champagne of beta embedded databases
Serializable (ACID) transactions for atomically reading and writing to multiple keys in multiple keyspaces. Fully atomic single-key operations, including compare and swap. Forward and reverse iterators over ranges of items. A crash-safe monotonic ID generator capable of generating 75-125 million unique ID's per second. Zstd compression (use the compression build feature, disabled by default). Cpu-scalable lock-free implementation. Flash-optimized log-structured storage. Uses modern b-tree... -
8
Ansible Examples
A few starter examples of ansible playbooks, to show features
This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be adapted directly into your own infrastructure or to serve as reference blueprints when learning how to structure automation projects. ...
