diff --git a/compareDBs.ipynb b/compareDBs.ipynb
index fb3f8f3..28b8ab6 100644
--- a/compareDBs.ipynb
+++ b/compareDBs.ipynb
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 1,
    "id": "ab6c6c81-6ac1-4668-a79b-a9a0341fb35a",
    "metadata": {
     "tags": []
@@ -59,7 +59,7 @@
        "False"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -74,11 +74,13 @@
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd\n",
+    "import pdmongo as pdm\n",
     "from clickhouse_driver import Client\n",
     "from dotenv import load_dotenv\n",
     "from influxdb_client import InfluxDBClient\n",
     "from influxdb_client.client.write_api import SYNCHRONOUS\n",
     "from minio import Minio\n",
+    "from monary import Monary\n",
     "from pymongo import MongoClient\n",
     "from pytz import timezone\n",
     "from sqlalchemy import create_engine\n",
@@ -88,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 55,
    "id": "55c3cd57-0996-4723-beb5-8f3196c96009",
    "metadata": {
     "tags": []
@@ -96,12 +98,13 @@
    "outputs": [],
    "source": [
     "# Variables\n",
-    "dbname = \"EURUSDtest\""
+    "dbname = \"EURUSDtest\"\n",
+    "collection = \"finance\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 6,
    "id": "968403e3-2e5e-4834-b969-be4600e2963a",
    "metadata": {
     "tags": []
@@ -136,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "id": "3634a4ec-04c2-4f1e-8659-5d22eb17a254",
    "metadata": {},
    "outputs": [
@@ -253,7 +256,7 @@
        "999999  2023-03-03 18:14:45  1.062535  1.062520  1.062520  1.062580      59  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -306,6 +309,7 @@
    "cell_type": "markdown",
    "id": "4a8d5703-9bc9-4d38-83ff-457159304d58",
    "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
@@ -368,9 +372,7 @@
     "\n",
     "def cHouseQueryDf(databaseName):\n",
     "    client = cHouseConnect()\n",
-    "    dfQuery = client.query_dataframe(\n",
-    "        \"SELECT * FROM default.{}\".format(databaseName)\n",
-    "    )  # LIMIT 10000\n",
+    "    dfQuery = client.query_dataframe(\"SELECT * FROM default.{}\".format(databaseName))\n",
     "    client.disconnect()\n",
     "    return dfQuery\n",
     "\n",
@@ -1492,13 +1494,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 71,
    "id": "d104d9af-fa34-4261-8478-329a28ee4f2e",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
+    "port = \"27017\"\n",
+    "\n",
+    "\n",
     "def mongoLoadCsv(csvfile):\n",
     "    data = pd.read_csv(\"out.csv\")\n",
     "    return data\n",
@@ -1514,32 +1519,40 @@
     "    return client\n",
     "\n",
     "\n",
-    "def mongoWriteDict():\n",
+    "def mongoWriteDict(dados, dbs, collection):\n",
     "    client = mongoConnect()\n",
-    "    db = client[\"EUROUSDtest\"]\n",
-    "    collection = db[\"finance\"]\n",
+    "    db = client[dbs]\n",
+    "    collection = db[collection]\n",
     "    # data.reset_index(inplace=True)\n",
-    "    data_dict = data.to_dict(\"records\")\n",
-    "    return data_dict\n",
+    "    data_dict = dados.to_dict(\"records\")\n",
+    "    # return data_dict\n",
     "    collection.insert_many(data_dict)\n",
-    "    return 0"
+    "    return 0\n",
+    "\n",
+    "\n",
+    "def mongoRead():\n",
+    "    df = pdm.read_mongo(\n",
+    "        collection, [], \"mongodb://192.168.1.162:27017/{}\".format(dbname)\n",
+    "    )\n",
+    "    return df"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": null,
    "id": "739de6aa-313f-4ccd-96c8-fa22d0cc687e",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "data = mongoLoadCsv(\"out.csv\")"
+    "data = mongoLoadCsv(\"out.csv\")\n",
+    "data.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 51,
    "id": "0af8f72c-5b58-4dfc-af36-c5b4bc79f127",
    "metadata": {
     "tags": []
@@ -1547,14 +1560,14 @@
    "outputs": [],
    "source": [
     "start = timeit.default_timer()\n",
-    "dfCh = mongoWriteDict()\n",
+    "dfCh = mongoWriteDict(data, dbname, \"finance\")\n",
     "stop = timeit.default_timer()\n",
     "mongo_write_execution_time = stop - start"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 52,
    "id": "0757f14c-4677-41d3-90d8-63b884e24e7e",
    "metadata": {
     "tags": []
@@ -1564,7 +1577,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "6.021722518999013\n"
+      "46.76343438199547\n"
      ]
     }
    ],
@@ -1574,14 +1587,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "81a4a33d-5914-45d8-af4e-2b0aabd2ac38",
+   "execution_count": 72,
+   "id": "e7922312-74cb-4df3-8dea-e5ee0d99fab7",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# read"
+    "start = timeit.default_timer()\n",
+    "dfMongo = mongoRead()\n",
+    "stop = timeit.default_timer()\n",
+    "mongo_read_execution_time = stop - start"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "93fb22ea-b283-4447-b774-fe755a782223",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "56.66832709600567\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(mongo_read_execution_time)"
    ]
   },
   {
@@ -1596,7 +1632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 80,
    "id": "bbcdb883-d6dc-46db-88db-4c90b84522ba",
    "metadata": {},
    "outputs": [],
@@ -1609,7 +1645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 81,
    "id": "35025a6e-9dc7-46cf-a792-76b3d84f1ac0",
    "metadata": {
     "tags": []
@@ -1619,8 +1655,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 3.66 ms, sys: 4 ms, total: 7.66 ms\n",
-      "Wall time: 7.27 ms\n"
+      "CPU times: user 13.6 ms, sys: 151 µs, total: 13.7 ms\n",
+      "Wall time: 12.7 ms\n"
      ]
     }
    ],
@@ -1628,6 +1664,7 @@
     "%%time\n",
     "conn = duckdb.connect()\n",
     "\n",
+    "\n",
     "# in memory???\n",
     "def duckdbWrite():\n",
     "    data = pd.read_csv(\"out.csv\")\n",
@@ -1636,24 +1673,75 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 82,
    "id": "c6abdaaa-3ac2-425b-9208-d6cb79afe966",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [name]\n",
+       "Index: []"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "display(conn.execute(\"SHOW TABLES\").df())"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 76,
    "id": "2acce0f3-f0b2-47d0-8e0d-f9e9687efc18",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "CatalogException",
+     "evalue": "Catalog Error: Table with name EURUSDtest does not exist!\nDid you mean \"temp.information_schema.tables\"?\nLINE 1: SELECT * FROM EURUSDtest\n                      ^",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mCatalogException\u001b[0m                          Traceback (most recent call last)",
+      "File \u001b[0;32m<timed exec>:1\u001b[0m\n",
+      "\u001b[0;31mCatalogException\u001b[0m: Catalog Error: Table with name EURUSDtest does not exist!\nDid you mean \"temp.information_schema.tables\"?\nLINE 1: SELECT * FROM EURUSDtest\n                      ^"
+     ]
+    }
+   ],
    "source": [
     "%%time\n",
     "df = conn.execute(\"SELECT * FROM EURUSDtest\").df()\n",