OLake Go Alternatives

Bacula Enterprise delivers backup and recovery for demanding enterprise, high-performance computing (HPC), defense, government and research environments. Developed by Switzerland-based Bacula Systems, it protects physical, virtual, container, database, SaaS and cloud workloads through one centrally managed platform. Keep backup data and recovery operations under your control. Bacula supports fully on-premises deployment without mandatory cloud control planes, call-home licensing or continuous internet connectivity. Organizations can retain control over storage location, infrastructure, encryption keys and recovery procedures to support data sovereignty and operational independence. Build layered ransomware resilience with physically air-gapped tape and offline copies, immutable storage options, encryption, multi-factor authentication, granular access controls and file integrity verification. Security capabilities can be configured around defense, critical infrastructure and other sensitive environments. For petabyte-scale HPC and research datasets, Bacula offers HPC Accelerator, parallel backup processing and integrations with Lustre, GPFS and ZFS. Protect large file populations while combining disk, tape libraries, object storage and cloud targets. Licensing is not based on protected data volume. Virtualization and cloud VM coverage includes VMware vSphere/ESXi, Hyper-V, Proxmox, Nutanix AHV, XenServer, XCP-ng, KVM, QEMU, Libvirt, Red Hat Virtualization, OpenStack, Amazon EC2 and Azure VMs. Container protection covers Kubernetes, Red Hat OpenShift and Docker. Database protection includes Oracle, SQL Server, PostgreSQL, MySQL, Percona for MySQL, MariaDB, SAP HANA, Sybase ASE, IBM Db2, MongoDB, Hadoop HDFS and InterSystems IRIS, plus Amazon RDS integration. Additional workloads include Microsoft 365 and Google Workspace. Automated scheduling, monitoring, reporting, deduplication, compression and BWeb web-based administration help teams manage distributed infrastructure. Recovery options include files, application data, virtual machines and bare metal recovery for supported systems. Built on an open-source core, Bacula Enterprise combines open source foundation with enterprise-only plugins, security capabilities, management tools and commercial support. This open core approach provides transparency while extending the platform for complex, large-scale and security-sensitive environments.

One Solution to Simplify File Management and Orchestration Across Edge, Data Center, and Cloud Storage PeerGFS is a software-only solution developed to solve file management/file replication challenges in multi-site, multi-platform, and hybrid multi-cloud environments. With over 25 years of experience in geographically dispersed file replication, we help organizations: - Improve availability through Active-Active data centers (on-premises and/or in the cloud) - Protect data at the Edge with Continuous Data Protection to the data center - Increase productivity for distributed project teams with fast, local access to file data Today’s always-on world requires real-time data infrastructure with 24x7x365 availability. PeerGFS works with the storage systems you already have deployed and support: - High volume data replication between well-connected data centers - Wide area networks with limited bandwidth and higher latency PeerGFS is easy to install and manage.

Fivetran is a leading data integration platform that centralizes an organization’s data from various sources to enable modern data infrastructure and drive innovation. It offers over 700 fully managed connectors to move data automatically, reliably, and securely from SaaS applications, databases, ERPs, and files to data warehouses and lakes. The platform supports real-time data syncs and scalable pipelines that fit evolving business needs. Trusted by global enterprises like Dropbox, JetBlue, and Pfizer, Fivetran helps accelerate analytics, AI workflows, and cloud migrations. It features robust security certifications including SOC 1 & 2, GDPR, HIPAA, and ISO 27001. Fivetran provides an easy-to-use, customizable platform that reduces engineering time and enables faster insights.

OLake Fusion is a self-hosted application for maintaining Apache Iceberg tables in data lakehouses. It automates scheduled table compaction, merging small data files and converting delete files to improve table layout as data is continuously ingested, updated, or deleted. Users can configure maintenance at the table level and schedule Lite, Medium, and Full compaction tiers, review table health and file metrics, and track maintenance runs and logs through a web UI. Fusion connects to Iceberg catalogs, including AWS Glue, Hive Metastore, JDBC, and REST-based catalog implementations such as Nessie, Polaris, Unity Catalog, and Lakekeeper, and can maintain tables created outside OLake. It is deployed on Docker or Kubernetes in a team's cloud or on-premises environment, and is designed for data engineers and platform teams operating analytical lakehouses with Apache Iceberg.

Google Cloud Lakehouse is a storage engine designed to unify data warehouses and data lakes into a single, cohesive platform. It allows organizations to access and manage data in open formats such as Apache Iceberg, Parquet, and ORC. The platform enables users to work with a single copy of data without needing to duplicate or move it across systems. It provides fine-grained security controls to ensure proper data governance and access management. Google Cloud Lakehouse simplifies data operations by integrating analytics and storage capabilities. It supports modern data workflows, including big data processing and analytics. The platform is built to scale with enterprise data needs while maintaining performance and flexibility. Overall, it helps organizations streamline data management and unlock insights more efficiently.

IOMETE is a self-hosted data lakehouse platform built on Apache Iceberg, Apache Spark, and Kubernetes. Run it on-premises or in your private cloud — your infrastructure, your data, your control. Built for enterprises in regulated industries, IOMETE eliminates third-party ICT risk at the data layer by architecture — not by contract. No SaaS dependencies. No data leaving your perimeter. Compliance with GDPR, DORA, and NIS2 is structural, not contractual. Included in one platform: - Data Lakehouse(s) - Data Catalog - SQL Editor - Apache Spark Jobs - ML Notebooks - Orchestration Engine - Spark Connect Key capabilities: Apache Iceberg-native storage, Kubernetes-native deployment (K8s + OpenShift), row/column/tag-based access control, Data Mesh support, air-gapped and zero-trust compatible. Transparent pricing — CPU-based, no per-query fees, no billing surprises.

The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines at scale, for a fraction of the cost. Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines. Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML. Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing. Deploy in minutes without engineering overhead with a fully managed, highly optimized cloud service. Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes. Use the right table format for the job, with omnidirectional interoperability between Apache Hudi, Apache Iceberg, and Delta Lake. Quickly configure managed pipelines for database CDC and streaming ingestion.

Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.

Qlik Replicate is a high-performance data replication tool offering optimized data ingestion from a broad array of data sources and platforms and seamless integration with all major big data analytics platforms. Replicate supports bulk replication as well as real-time incremental replication using CDC (change data capture). Our unique zero-footprint architecture eliminates unnecessary overhead on your mission-critical systems and facilitates zero-downtime data migrations and database upgrades. Database replication enables you to move or consolidate data from a production database to a newer version of the database, another type of computing environment, or an alternative database management system, to migrate data from SQL Server to Oracle, for example. Data replication can be used to offload production data from a database, and load it to operational data stores or data warehouses for reporting or analytics.

TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing.

Equalum’s continuous data integration & streaming platform is the only solution that natively supports real-time, batch, and ETL use cases under one, unified platform with zero coding required. Make the move to real-time with a fully orchestrated, drag-and-drop, no-code UI. Experience rapid deployment, powerful transformations, and scalable streaming data pipelines in minutes. Multi-modal, robust, and scalable CDC enabling real-time streaming and data replication. Tuned for best-in-class performance no matter the source. The power of open-source big data frameworks, without the hassle. Equalum harnesses the scalability of open-source data frameworks such as Apache Spark and Kafka in the Platform engine to dramatically improve the performance of streaming and batch data processes. Organizations can increase data volumes while improving performance and minimizing system impact using this best-in-class infrastructure.

Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.

SiteWhere infrastructure and microservices are deployed on Kubernetes, allowing for deployment on-premise or almost any cloud provider. Highly-available configurations of Apache Kafka, Zookeeper, and Hashicorp Consul provide infrastructure. Each microservice scales independently and integrates automatically. Complete multitenant IoT ecosystem including device management, event ingestion, big data event storage, REST APIs, data integration, and much more. Distributed architecture built with Java microservices running on Docker infrastructure with Apache Kafka processing pipeline. SiteWhere CE will always be open source and free for private as well as commercial use. The SiteWhere team offers free basic support and a steady stream of new features.

If Postgres is at the core of your business and is a major source of data, PeerDB provides a fast, simple, and cost-effective way to replicate data from Postgres to data warehouses, queues, and storage. Designed to run at any scale, and tailored for data stores. PeerDB uses replication messages from the Postgres replication slot to replay the schema messages. Alerts for slot growth and connections. Native support for Postgres toast columns and large JSONB columns for IoT. Optimized query design to reduce warehouse costs; particularly useful for Snowflake and BigQuery. Support for partitioned tables via both publish. Blazing fast and consistent initial load by transaction snapshotting and CTID scans. High-availability, in-place upgrades, autoscaling, advance logs, metrics and monitoring dashboards, burstable instance types, and suitable for dev environments.

Easily migrate your data, schema, and objects from multiple sources to the cloud at scale. Azure Database Migration Service is a tool that helps you simplify, guide, and automate your database migration to Azure. Migrate your database and server objects, including user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages all at once. Migrate your data to Azure from the most common database management systems. Whether you’re moving from an on-premises database or another cloud, Database Migration Service supports key migration scenarios such as SQL Server, MySQL, PostgreSQL, and MongoDB. Save time and effort by automating your move to Azure with PowerShell. Database Migration Service works with PowerShell cmdlets to automatically migrate a list of databases. Supports Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB migration to Azure from on-premises and other clouds.

Altinity's expert engineering team can implement everything from core ClickHouse features to Kubernetes operator behavior to client library improvements. A flexible docker-based GUI manager for ClickHouse that can do the following: Install ClickHouse clusters; Add, delete, and replace nodes; Monitor cluster status; Help with troubleshooting and diagnostics. 3rd party tools and software integrations: Ingest: Kafka, ClickTail; APIs: Python, Golang, ODBC, Java; Kubernetes; UI tools: Grafana, Superset, Tabix, Graphite; Databases: MySQL, PostgreSQL; BI tools: Tableau and many more. Altinity.Cloud incorporates lessons from helping hundreds of customers operate ClickHouse-based analytics. Altinity.Cloud has a Kubernetes-based architecture that delivers portability and user choice of where to operate. Designed from the beginning to run anywhere without lock-in. Cost management is critical for SaaS businesses.

EDB Postgres AI is an enterprise AI data platform developed by EnterpriseDB that combines PostgreSQL database management, advanced analytics, and AI agent infrastructure in a unified system. The software enables organizations to run transactional, analytical, and agentic AI workloads while maintaining control over their data and computing environments. Its unified data architecture integrates PostgreSQL, ClickHouse, WarehousePG, and open lakehouse formats to support large-scale analytics without complex data movement. EDB Postgres AI includes vector search, in-database AI inference, and Model Context Protocol integrations for building intelligent applications that operate directly on enterprise data. Centralized management tools provide database provisioning, monitoring, automated operations, governance, and high availability across hybrid infrastructure.

i2CDP is continuous data protection (CDP) software from Information2 Software (Info2soft) for near-zero RPO. Instead of relying on scheduled backups, it captures every data change and replicates it in real time at the byte level, transferring only changed data. Teams can recover files, applications, and whole systems to any point in time, including a clean point before a ransomware attack, from immutable recovery points. It protects databases (Oracle, SQL Server, MySQL, PostgreSQL, IBM DB2, Informix, and GaussDB), applications, virtual machines (VMware, Hyper-V, and KVM), and cloud workloads (AWS, Azure, Alibaba Cloud, and Huawei Cloud) on Windows and Linux (Red Hat, CentOS, SUSE, Ubuntu, and Debian). It also maintains a continuously synchronized recovery environment for disaster recovery.

Syniti Data Replication (formerly DBMoto) software makes it easy to implement heterogeneous Data Replication, Change Data Capture, and Data Transformation capabilities — without the need for consulting services. Deploy and run powerful data replication features through an easy to use GUI and wizard-based screens — no stored procedures to develop, no proprietary syntax to learn, and no programming on the source or target database platforms. Accelerate data ingestion from multiple database systems and seamlessly move it to your preferred cloud solution (Google, AWS, Microsoft Azure, SAP Cloud, and more) without impacting your on-premises operations. Source- and target-agnostic software can replicate all selected data as a snapshot to streamline your data migration. Available as a stand-alone solution, a cloud-based offering from Amazon Web Services (AWS) Marketplace, or included in your Syniti Knowledge Platform subscription, SDR can tackle your most important integrations.

Cazpian is a unified data platform designed for modern data teams working with open lakehouse architectures. The platform brings together data governance, compute environments, catalog management, and AI capabilities into a single system. Cazpian allows organizations to connect and query data across object storage, Iceberg tables, and relational databases through one SQL interface. Its unified catalog enables teams to manage data sources without moving or duplicating datasets. The platform also includes tools for scheduling jobs, running queries, and managing compute resources. Built-in AI agents provide evidence-backed insights and help teams analyze data more efficiently. By combining governance, analytics, and automation in one platform, Cazpian helps organizations manage large-scale data environments more effectively.

StorCentric Data Mobility Suite (DMS), an all-inclusive software solution, empowers organizations to seamlessly move data where it needs to be. DMS is a cloud-enabled solution that supports data migration, data replication, and data synchronization across mixed environments including disk, tape, and cloud to maximize ROI by eliminating data silos. DMS supports vendor-agnostic file replications and synchronization and is easily deployed and managed on a non-proprietary server. DMS can transfer millions of files simultaneously and protects data in transit to and from the cloud with SSL encryption. DMS streamlines point-to-point data movement and tackles data flow requirements from any storage platform to another. Fine-grained filtering and continuous incremental updates alleviate the challenges of moving and consolidating data across heterogeneous environments. DMS enables files to be synchronized across multiple storage repositories, including disk and tape.

Rocket® Data Replicate and Sync (RDRS) provides high performance, sub-second change data capture (CDC) and bidirectional replication across mainframe, distributed, and cloud environments. It supports a broad set of enterprise sources and modern cloud targets, automatically capturing and applying data changes while adapting formats for each destination. The platform incorporates enterprise-grade encryption, secure connectivity such as site-to-site VPN and SAF controls, and built-in recovery and rollback to maintain data integrity across hybrid environments. By offloading data transformations to cloud compute, RDRS helps reduce mainframe CPU consumption while ensuring analytics, AI/ML, and operational applications receive current data. Supported sources include Db2, VSAM, IMS, Adabas, and Datacom, with delivery to targets such as Kafka, Snowflake, AWS, and Azure—without custom code or operational disruption.

SimpleBackups is an all-in-one website & database backup automation service. With extensive support to databases like: MySQL, MongoDB and PostgreSQL, and many cloud storage options to securely dump and store backups to including Amazon S3, Google Cloud Storage, DigitalOcean Spaces, Backblaze, Wasabi, Dropbox, Filebase, etc. SimpleBackups simplifies the website & database backups process. It detects failures and notifies you when backups fail or when they are expected to fail. It also fully automates the backup creation process by using the automation features and the API. We cater to developers, startups, and web agencies, with the option to start for free.

SafeGrd is a backup and recovery verification service for teams protecting databases, files and email. It backs up PostgreSQL, MySQL and MongoDB databases, file trees and IMAP mailboxes, encrypting backup data on the host before sending it to an S3-compatible bucket or SafeGrd-hosted storage. Backups can use S3 Object Lock retention. SafeGrd schedules Fire Drills that restore a backup into a disposable environment, check database tables and rows, and record signed results for operational review or audit evidence. Teams can run its CLI and agent on Linux or macOS hosts, in Docker or Kubernetes, or in GitHub Actions; managed databases can also be backed up from a connection string. A web console organizes protected systems and monitors backup and drill status. Plans offer different schedules, storage allowances and restore-test frequencies, including a free tier and paid plans.

VisuaLeaf is a cross-platform database GUI for MongoDB, PostgreSQL, MySQL, SQL Server, and Oracle. It helps developers explore and edit data, build queries and MongoDB aggregation pipelines visually, create and reverse-engineer schema diagrams, manage indexes, analyze query performance, and work with an integrated MongoDB shell and SQL editor. VisuaLeaf also includes collection comparison, data synchronization, task automation, data masking, import and export tools, charts, dashboards, user management, and secure SSH and SOCKS5 connections. It is available for Windows, macOS, and Linux.

Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries. Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases. Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements. Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools.

Stelo is an enterprise-class tool that dynamically delivers data from anywhere to anywhere for analysis, reporting and prediction or for managing business operations, B2B interactions and supply chains. Move data easily among your core relational databases and delta lakes in real-time across firewalls, to other teams, or to the cloud. Stelo Data Replicator provides reliable, high-speed, affordable replication for any relational database accessible via ODBC and non-relational databases via Kafka, Delta Lakes and flat file formats. Stelo leverages native data loading functions, and exploits multithreaded processing to provide fast, reliable performance for replicating multiple tables concurrently. Simple installation with GUI interfaces, configuration wizards, and advanced tools make product setup and operation straightforward, with no programming needed. Once running, Stelo reliably operates in the background without needing dedicated engineering support to maintain and manage.

R2 SQL is Cloudflare’s serverless, distributed analytics query engine (currently in open beta) that enables you to run SQL queries over Apache Iceberg tables stored in R2 Data Catalog without needing to manage your own compute clusters. It is built to efficiently query large volumes of data by leveraging metadata pruning, partition-level statistics, file and row-group filtering, and Cloudflare’s globally distributed compute infrastructure to parallelize execution. The system works by integrating with R2 object storage and an Iceberg catalog layer, so you can ingest data via Cloudflare Pipelines into Iceberg tables, and then query that data with minimal overhead. Queries can be issued via the Wrangler CLI or HTTP API (with an API token granting permissions across R2 SQL, Data Catalog, and storage). During the open beta period, using R2 SQL itself is not billed, only storage and standard R2 operations incur charges.

Discover fast, efficient, array-based data replication for backup, disaster recovery, and data mobility. NetApp® SnapMirror® replicates data at high speeds over LAN or WAN, so you get high data availability and fast data replication for your business-critical applications, including Microsoft Exchange, Microsoft SQL Server, and Oracle, in both virtual and traditional environments. And when you replicate data to one or more NetApp storage systems and continually update the secondary data, your data is kept current and remains available whenever you need it. No external replication servers are required. Easily manage replication between storage endpoints, from flash to disk to cloud. Transport data seamlessly and efficiently between NetApp storage systems to support both backup and disaster recovery with the same target volume and I/O stream. Failover to any secondary volume. Recover from any point-in-time Snapshot on the secondary storage.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native universal data distribution service powered by Apache NiFi ​​that lets developers connect to any data source anywhere with any structure, process it, and deliver to any destination. CDF-PC offers a flow-based low-code development paradigm that aligns best with how developers design, develop, and test data distribution pipelines. With over 400+ connectors and processors across the ecosystem of hybrid cloud services—including data lakes, lakehouses, cloud warehouses, and on-premises sources—CDF-PC provides indiscriminate data distribution. These data distribution flows can then be version-controlled into a catalog where operators can self-serve deployments to different runtimes.

Stream only the data that has changed to the destination. Eliminate data latency and reduce computational overhead. Change data capture (CDC) is a highly efficient method to sync data. Log-based replication is a non-intrusive way to replicate data in real time and does not impact source database performance. Set up the end-to-end solution in minutes, with zero pipeline maintenance. Let your data teams work on higher-value projects. Setting up Artie takes just a few simple steps. Artie will handle backfilling historical data and continuously stream new changes to the final table as they occur. Artie ensures data consistency and high reliability. In the event of an outage, Artie leverages offsets in Kafka to pick up where it left off, which helps maintain high data integrity while avoiding the burden of performing full re-syncs.

A data lakehouse is a modern, open architecture that enables you to store, understand, and analyze all your data. It combines the power and richness of data warehouses with the breadth and flexibility of the most popular open source data technologies you use today. A data lakehouse can be built from the ground up on Oracle Cloud Infrastructure (OCI) to work with the latest AI frameworks and prebuilt AI services like Oracle’s language service. Data Flow is a serverless Spark service that enables our customers to focus on their Spark workloads with zero infrastructure concepts. Oracle customers want to build advanced, machine learning-based analytics over their Oracle SaaS data, or any SaaS data. Our easy- to-use data integration connectors for Oracle SaaS, make creating a lakehouse to analyze all data with your SaaS data easy and reduces time to solution.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.

EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm. Alibaba Cloud Elastic MapReduce (EMR) is a big data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS instances and is based on open-source Apache Hadoop and Apache Spark. EMR allows you to use the Hadoop and Spark ecosystem components, such as Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, to analyze and process data. You can use EMR to process data stored on different Alibaba Cloud data storage service, such as Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). You can quickly create clusters without the need to configure hardware and software. All maintenance operations are completed on its Web interface.

CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings.

Ployz is an application deployment platform for developers and teams that run applications on Linux servers they rent or manage. It provides a hosted dashboard, command-line interface and MCP tools for connecting servers, deploying applications from Git repositories, and managing services across one or more machines. Ployz can build supported languages without a Dockerfile or deploy container images, create preview environments, and provision PostgreSQL, MySQL, Redis and MongoDB databases. Applications can reference linked service credentials, communicate over private networking, and expose selected domains with SSL. The platform provides deployment logs and supports self-hosting the Ployz control plane on Linux using Docker Compose. Ployz is intended for developers and small teams who want deployment workflows while keeping application workloads on infrastructure they control.

Today, organizations are typically storing unstructured data in file systems and increasingly in object and cloud storage. Cloud and object storage have numerous advantages, particularly with regard to inactive data. This leads to the requirement to migrate or replicate files (e.g. from legacy NAS) to cloud or object storage. More and more data is stored in cloud and object storage. This has created an underestimated security risk. In most cases, data stored in the cloud or in on-premises object storage is not backed up, as it is believed to be secure. This assumption is negligent and risky. High availability and redundancy as offered by cloud services and object storage products do not protect against human error, ransomware, malware, or technology failure. Thus, also cloud and object data need backup or replication, most appropriately on a separate storage technology, at a different location and in the original format as stored in the cloud and object storage.

Matia is a unified DataOps platform designed to simplify modern data management by combining multiple core functions into a single, integrated system. It brings together ETL, reverse ETL, data observability, and a data catalog, eliminating the need for multiple disconnected tools and reducing the complexity of managing fragmented data stacks. It enables teams to move data quickly and reliably from various sources into data warehouses using advanced ingestion capabilities, including real-time updates and error handling, while also allowing them to push trusted data back into operational tools for business use. Matia emphasizes built-in observability at every stage of the data pipeline, providing monitoring, anomaly detection, and automated quality checks to ensure data accuracy and reliability before issues impact downstream systems.

Xitoring is an all-in-one monitoring platform for servers, websites, and status pages. One command installs the Xitogent agent (curl on Linux, MSI on Windows), auto-discovering 30+ services: Nginx, Apache, IIS, MySQL, PostgreSQL, MongoDB, Redis, Docker, RabbitMQ, Kafka, and more. Monitor CPU, memory, disk I/O, network, and processes, plus uptime checks (HTTP(S), Ping, DNS, TCP, UDP, API, Mail, Heartbeat, Cron) at 1-minute intervals from 15+ global probing nodes. SSL monitoring included. Alerts via 20+ channels: email, SMS, phone call, WhatsApp, Telegram, Slack, Teams, PagerDuty, Opsgenie, webhooks, and more. Built-in AIOps answers plain-English questions about your metrics and incidents. The Xitoring MCP server lets Claude, Cursor, or any AI agent read metrics, ack alerts, and manage monitors. Plus white-label status pages, incident management, REST API, and iOS/Android apps. Free forever: 2 servers + 8 uptime checks. Paid from $4.99/mo, flat pricing, 30-day trial.

i2Backup is centralized backup and recovery software from Information2 Software (Info2soft). It protects physical servers, virtual machines, databases, files, big data and containers from one console, and backs up to local disk, tape, NAS, object storage or deduplication storage. Supported platforms include VMware ESXi 5-8, Hyper-V, OpenStack and oVirt; Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, IBM DB2 and Informix; Hadoop and Cloudera; and Kubernetes. Features: automated backup scheduling, retention rules, parallel jobs, a real-time dashboard with email and SMS alerts, instant VM recovery by mounting backups, file-level and database-level restore, restore to new VMs or physical servers, and point-in-time recovery from continuous backup logs. Built-in ransomware protection. 60-day free trial.

Navicat Premium is a database development tool that allows you to simultaneously connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases from a single application. Compatible with cloud databases like Amazon RDS, Amazon Aurora, Amazon Redshift, Microsoft Azure, Oracle Cloud, Google Cloud and MongoDB Atlas. You can quickly and easily build, manage and maintain your databases. Data Transfer, Data Synchronization and Structure Synchronization help you migrate your data easier and faster for less overhead. Deliver detailed, step-by-step guidelines for transferring data across various DBMS. Compare and synchronize databases with Data and Structure Synchronization. Set up and deploy the comparisons in seconds, and get the detailed script to specify the changes you want to execute.

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together.

Easypanel is a next-generation server control panel powered by Docker, built to deploy applications, manage databases, and provision SSL certificates through an intuitive interface. Unlike many other panels, Easypanel can run any application, creating Docker images for Node.js, Ruby, Python, PHP, Go, and Java apps using Heroku Buildpacks, while still allowing users to bring their own Dockerfile when they need greater control. Developers can push to GitHub and let Easypanel get the code, build it, and deploy it automatically, with support for zero-downtime deployments so updates happen seamlessly without interruptions for users. It also supports Cloud Native Buildpacks, Paketo Buildpacks, Nixpacks, and Dockerfile-based builds, giving teams several ways to turn source code into Docker images. Databases are first-class citizens in Easypanel, with support for MySQL, PostgreSQL, MongoDB, and Redis, plus web-based tools to inspect logs or connect to the database CLI.

Dell EMC RecoverPoint replication provides the continuous data protection you need to recover any application, on any supported storage array, in any location, to any point in time. Meet your recovery point objectives (RPOs) and recovery time objectives (RTOs) with instant access to data. You can use RecoverPoint to support disaster recovery, operational recovery, and testing. With more than 30,000 appliances installed worldwide, RecoverPoint is a trusted and proven data protection and disaster recovery solution. Dell EMC RecoverPoint supports the entire Dell EMC storage (block) portfolio including the software-defined storage solution ScaleIO. Distributes data (fan-out) and consolidates data (fan-in) to multiple remote sites. 3-site MetroPoint topology disaster recovery with VPLEX Metro continuous availability. Replicates data over any distance to significantly reduce bandwidth consumption.

IBM® InfoSphere® Data Replication provides log-based change data capture with transactional integrity to support big data integration and consolidation, warehousing and analytics initiatives at scale. It provides you the flexibility to replicate data between a variety of heterogeneous sources and targets. It also supports zero-downtime data migrations and upgrades. IBM InfoSphere Data Replication can also provide continuous availability to maintain database replicas in remote locations so that you can switch a workload to those replicas in seconds, not hours. Join the beta program to get a first look and offer input on the new on-premises-to-cloud and cloud-to-cloud data replication capabilities. See what makes you an ideal candidate for the beta program and what to expect. Sign up for the limited access IBM Data Replication beta program and collaborate with us on the new product direction.

Hitachi Universal Replicator satisfies the most demanding business continuity and disaster recovery requirements. This software asynchronously replicates data between Hitachi storage systems, over any distance. Avoid disruptions to your data and your business with high-performance synchronous and asynchronous replication. Read this datasheet to explore how Hitachi TrueCopy remote replication software ensures business continuity and disaster recovery with synchronous replication and data protection, and improves productivity for both business and IT processes. For ever yday uptime and rapid recover y demands in the event of an outage, choose Hitachi TrueCopy remote replication software. TrueCopy synchronously mirrors data between Hitachi storage systems across metropolitan distances. Hitachi TrueCopy remote replication software can be integrated with Hitachi ShadowImage replication software to enable robust business continuity solu-tions.

Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.

Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.

DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter data

TIBCO Streaming is a real-time analytics platform designed to process and analyze high-velocity data streams, enabling organizations to make immediate, data-driven decisions. It offers a low-code development environment through StreamBase Studio, allowing users to build complex event processing applications with minimal coding. It supports over 150 connectors, including APIs, Apache Kafka, MQTT, RabbitMQ, and databases like MySQL and JDBC, facilitating seamless integration with various data sources. TIBCO Streaming incorporates dynamic learning operators, enabling adaptive machine learning models that provide contextual insights and automate decision-making processes. It also features real-time business intelligence capabilities, allowing users to visualize live data alongside historical information for comprehensive analysis. It is cloud-ready, supporting deployments on AWS, Azure, GCP, and on-premises environments.